New 3D 16-Ary Signal Constellations and Their Symbol Error Probabilities in AWGN and Rayleigh Fading Channels. - Zhenxing Chen; Jiaheng Liu; Shuang Li; Seog Geun Kang (Wirel. Commun. Mob. Comput., 2018)

Aggregate Signature Consensus Scheme Based on FPGA. - Jinhua Fu; Jiaheng Liu; Yongzhong Huang; Xueming Si; Yongjuan Wang; Bin Li 023 (BlockSys, 2019)

Knowledge Distillation via Route Constrained Optimization. - Xiao Jin; Baoyun Peng; Yichao Wu; Yu Liu 015; Jiaheng Liu; Ding Liang; Junjie Yan; Xiaolin Hu 001 (ICCV, 2019)

Correlation Congruence for Knowledge Distillation. - Baoyun Peng; Xiao Jin; Dongsheng Li 001; Shunfeng Zhou; Yichao Wu; Jiaheng Liu; Zhaoning Zhang 001; Yu Liu 015 (ICCV, 2019)

LAW: Learning to Auto Weight. - Zhenmao Li; Yichao Wu; Ken Chen; Yudong Wu; Shunfeng Zhou; Jiaheng Liu; Junjie Yan (CoRR, 2019)

Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework. - Zhenmao Li; Yichao Wu; Ken Chen; Yudong Wu; Shunfeng Zhou; Jiaheng Liu; Junjie Yan (AAAI, 2020)

A Conflict-Aware Capacity Control Mechanism for Last-Level Cache. - Jiaheng Liu; Ryusuke Egawa; Mulya Agung; Hiroyuki Takizawa (CANDAR (Workshops), 2020)

A Unified End-to-End Framework for Efficient Deep Image Compression. - Jiaheng Liu; Guo Lu; Zhihao Hu; Dong Xu 001 (CoRR, 2020)

DAM: Discrepancy Alignment Metric for Face Recognition. - Jiaheng Liu; Yudong Wu; Yichao Wu; Chuming Li; Xiaolin Hu 001; Ding Liang; Mengyu Wang (ICCV, 2021)

Improved adaptive gray wolf genetic algorithm for photovoltaic intelligent edge terminal optimal configuration. - Leijiao Ge; Jiaheng Liu; Bo Wang 047; Yue Zhou 002; Jun Yan 007; Ming Wang (Comput. Electr. Eng., 2021)

Inter-class Discrepancy Alignment for Face Recognition. - Jiaheng Liu; Yudong Wu; Yichao Wu; Zhenmao Li; Ken Chen; Ding Liang; Junjie Yan (CoRR, 2021)

GeometryMotion-Net: A Strong Two-Stream Baseline for 3D Action Recognition. - Jiaheng Liu; Dong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Block Proposal Neural Architecture Search. - Jiaheng Liu; Shunfeng Zhou; Yichao Wu; Ken Chen; Wanli Ouyang; Dong Xu 001 (IEEE Trans. Image Process., 2021)

AnchorFace: Boosting TAR@FAR for Practical Face Recognition. - Jiaheng Liu; Haoyu Qin; Yichao Wu; Ding Liang (AAAI, 2022)

Deep 3D Vessel Segmentation based on Cross Transformer Network. - Chengwei Pan; Baolian Qi; Gangming Zhao; Jiaheng Liu; Chaowei Fang; Dingwen Zhang; Jinpeng Li 002 (BIBM, 2022)

CoupleFace: Relation Matters for Face Recognition Distillation. - Jiaheng Liu; Haoyu Qin; Yichao Wu; Jinyang Guo; Ding Liang; Ke Xu 001 (ECCV (12), 2022)

OneFace: One Threshold for All. - Jiaheng Liu; Zhipeng Yu; Haoyu Qin; Yichao Wu; Ding Liang; Gangming Zhao; Ke Xu 001 (ECCV (12), 2022)

LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation. - Hongcheng Guo; Jiaheng Liu; Haoyang Huang; Jian Yang 030; Zhoujun Li 001; Dongdong Zhang 001; Zheng Cui (EMNLP, 2022)

Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. - Chengwei Pan; Gangming Zhao; Junjie Fang; Baolian Qi; Jiaheng Liu; Chaowei Fang; Dingwen Zhang; Jinpeng Li 002; Yizhou Yu (MICCAI (1), 2022)

Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval. - Jiaheng Liu; Tan Yu; Hanyu Peng; Mingming Sun 001; Ping Li 001 (NAACL-HLT (Findings), 2022)

LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation. - Hongcheng Guo; Jiaheng Liu; Haoyang Huang; Jian Yang 030; Zhoujun Li 001; Dongdong Zhang 001; Furu Wei (CoRR, 2022)

3D-QueryIS: A Query-based Framework for 3D Instance Segmentation. - Jiaheng Liu; Tong He 001; Honghui Yang; Rui Su; Jiayi Tian; Junran Wu; Hongcheng Guo; Ke Xu 001; Wanli Ouyang (CoRR, 2022)

A Conflict-Aware Capacity Control Mechanism for Deep Cache Hierarchy. - Jiaheng Liu; Ryusuke Egawa; Hiroyuki Takizawa (IEICE Trans. Inf. Syst., 2022)

JointPruning: Pruning Networks Along Multiple Dimensions for Efficient Point Cloud Processing. - Jinyang Guo; Jiaheng Liu; Dong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

3D-Pruning: A Model Compression Framework for Efficient 3D Action Recognition. - Jinyang Guo; Jiaheng Liu; Dong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

APSNet: Toward Adaptive Point Sampling for Efficient 3D Action Recognition. - Jiaheng Liu; Jinyang Guo; Dong Xu 001 (IEEE Trans. Image Process., 2022)

Improved Harris Hawks Optimization for Configuration of PV Intelligent Edge Terminals. - Leijiao Ge; Jiaheng Liu; Jun Yan 007; Muhammad Umer Rafiq (IEEE Trans. Sustain. Comput., 2022)

Adaptive Contrastive Knowledge Distillation for BERT Compression. - Jinyang Guo; Jiaheng Liu; Zining Wang; Yuqing Ma; Ruihao Gong; Ke Xu 001; Xianglong Liu 001 (ACL (Findings), 2023)

Multilingual Entity and Relation Extraction from Unified to Language-specific Training. - Zixiang Wang; Jian Yang 030; Tongliang Li; Linzheng Chai; Jiaheng Liu; Ying Mo; Jiaqi Bai; Zhoujun Li 001 (CECCT, 2023)

GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking. - Jiaqi Bai; Hongcheng Guo; Jiaheng Liu; Jian Yang 030; Xinnian Liang; Zhao Yan; Zhoujun Li 001 (CIKM, 2023)

GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds. - Honghui Yang; Tong He 001; Jiaheng Liu; Hua Chen; Boxi Wu; Binbin Lin; Xiaofei He 001; Wanli Ouyang (CVPR, 2023)

LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction. - Hongcheng Guo; Yuhui Guo; Jian Yang 030; Jiaheng Liu; Zhoujun Li 001; Tieqiao Zheng; Liangfan Zheng; Weichao Hou; Bo Zhang 096 (DASFAA (4), 2023)

M2C: Towards Automatic Multimodal Manga Complement. - Hongcheng Guo; Boyang Wang; Jiaqi Bai; Jiaheng Liu; Jian Yang 030; Zhoujun Li 001 (EMNLP (Findings), 2023)

Achieving Fine-grained Word Sense Disambiguation with Context Hypergraph and Sememe Hypergraph. - Jiaheng Liu; Haonan Zeng (ICAICE, 2023)

ICD-Face: Intra-class Compactness Distillation for Face Recognition. - Zhipeng Yu; Jiaheng Liu; Haoyu Qin; Yichao Wu; Kun Hu; Jiayi Tian; Ding Liang (ICCV, 2023)

Multilingual Entity and Relation Extraction from Unified to Language-specific Training. - Zixiang Wang; Jian Yang 030; Tongliang Li; Jiaheng Liu; Ying Mo; Jiaqi Bai; Longtao He; Zhoujun Li 001 (CoRR, 2023)

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. - Zekun Moore Wang; Zhongyuan Peng; Haoran Que; Jiaheng Liu; Wangchunshu Zhou; Yuhan Wu; Hongcheng Guo; Ruitong Gan; Zehao Ni; Man Zhang 005; Zhaoxiang Zhang 001; Wanli Ouyang; et al. (CoRR, 2023)

GeometryMotion-Transformer: An End-to-End Framework for 3D Action Recognition. - Jiaheng Liu; Jinyang Guo; Dong Xu 001 (IEEE Trans. Multim., 2023)

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection. - Hongcheng Guo; Jian Yang 030; Jiaheng Liu; Jiaqi Bai; Boyang Wang; Zhoujun Li 001; Tieqiao Zheng; Bo Zhang 096; Junran Peng; Qi Tian (AAAI, 2024)

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. - Ge Bai; Jie Liu 047; Xingyuan Bu; Yancheng He; Jiaheng Liu; Zhanhui Zhou; Zhuoran Lin; Wenbo Su; Tiezheng Ge; Bo Zheng 007; Wanli Ouyang (ACL (1), 2024)

E2-LLM: Efficient and Extreme Length Extension of Large Language Models. - Jiaheng Liu; Zhiqi Bai; Yuanxing Zhang; Chenchen Zhang; Yu Zhang 176; Ge Zhang 009; Jiakai Wang; Haoran Que; Yukang Chen; Wenbo Su; Tiezheng Ge; Jie Fu 001; et al. (ACL (Findings), 2024)

UniCoder: Scaling Code Large Language Model via Universal Code. - Tao Sun 016; Linzheng Chai; Jian Yang 030; Yuwei Yin; Hongcheng Guo; Jiaheng Liu; Bing Wang; Liqun Yang; Zhoujun Li 001 (ACL (1), 2024)

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. - Noah Wang; Zhongyuan Peng; Haoran Que; Jiaheng Liu; Wangchunshu Zhou; Yuhan Wu; Hongcheng Guo; Ruitong Gan; Zehao Ni; Jian Yang 030; Man Zhang 005; Zhaoxiang Zhang 001; et al. (ACL (Findings), 2024)

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. - Yanan Wu; Jie Liu 047; Xingyuan Bu; Jiaheng Liu; Zhanhui Zhou; Yuanxing Zhang; Chenchen Zhang; Zhiqi Bai; Haibin Chen; Tiezheng Ge; Wanli Ouyang; Wenbo Su; et al. (ACL (Findings), 2024)

Towards Real-world Scenario: Imbalanced New Intent Discovery. - Shun Zhang; Chaoran Yan; Jian Yang; Jiaheng Liu; Ying Mo; Jiaqi Bai; Tongliang Li; Zhoujun Li (ACL (1), 2024)

Emulated Disalignment: Safety Alignment for Large Language Models May Backfire! - Zhanhui Zhou; Jie Liu 047; Zhichen Dong; Jiaheng Liu; Chao Yang 026; Wanli Ouyang; Yu Qiao 001 (ACL (1), 2024)

NC2D: Novel Class Discovery for Node Classification. - Yue Hou; Xueyuan Chen; He Zhu; Ruomei Liu; Bowen Shi; Jiaheng Liu; Junran Wu; Ke Xu 001 (CIKM, 2024)

m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt. - Jian Yang 030; Hongcheng Guo; Yuwei Yin; Jiaqi Bai; Bing Wang; Jiaheng Liu; Xinnian Liang; Linzheng Chai; Liqun Yang; Zhoujun Li 001 (LREC/COLING, 2024)

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling. - Jiaheng Liu; Jianhao Li; Kaisiyuan Wang; Hongcheng Guo; Jian Yang 030; Junran Peng; Ke Xu 001; Xianglong Liu 001; Jinyang Guo (CVPR, 2024)

Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts. - Jianhao Li; Tianyu Sun; Zhongdao Wang; Enze Xie; Bailan Feng; Hongbo Zhang; Ze Yuan; Ke Xu 001; Jiaheng Liu; Ping Luo 002 (ECCV (84), 2024)

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. - Shilong Li; Yancheng He; Hangyu Guo; Xingyuan Bu; Ge Bai; Jie Liu 047; Jiaheng Liu; Xingwei Qu; Yangguang Li 001; Wanli Ouyang; Wenbo Su; Bo Zheng 007 (EMNLP (Findings), 2024)

OWL: A Large Language Model for IT Operations. - Hongcheng Guo; Jian Yang 030; Jiaheng Liu; Liqun Yang; Linzheng Chai; Jiaqi Bai; Junran Peng; Xiaorong Hu; Chao Chen; Dongfeng Zhang; Xu Shi; Tieqiao Zheng; et al. (ICLR, 2024)

Compressing Large Language Models by Joint Sparsification and Quantization. - Jinyang Guo; Jianyu Wu; Zining Wang; Jiaheng Liu; Ge Yang; Yifu Ding; Ruihao Gong; Haotong Qin; Xianglong Liu 001 (ICML, 2024)

MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assets. - Zeyu Li; Ruitong Gan; Chuanchen Luo; Yuxi Wang 001; Jiaheng Liu; Ziwei Zhu; Qing Li 001; Xucheng Yin; Man Zhang 005; Zhaoxiang Zhang 001; Junran Peng (ACM Multimedia, 2024)

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models. - Zining Wang; Jinyang Guo; Ruihao Gong; Yang Yong; Aishan Liu; Yushi Huang; Jiaheng Liu; Xianglong Liu 001 (ACM Multimedia, 2024)

VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection. - Ze Yuan; Jinyang Guo; Dakai An; Junran Wu; He Zhu; Jianhao Li; Xueyuan Chen; Ke Xu 001; Jiaheng Liu (ACM Multimedia, 2024)

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. - Ziqiang Liu; Feiteng Fang; Xi Feng; Xeron Du; Chenhao Zhang 005; Noah Wang; Yuelin Bai; Qixuan Zhao; Liyang Fan; Chengguang Gan; Hongquan Lin; Jiaming Li 004; et al. (NeurIPS, 2024)

RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts. - Jiaheng Liu; Zehao Ni; Haoran Que; Tao Sun 016; Noah Wang; Jian Yang 030; Jiakai Wang; Hongcheng Guo; Zhongyuan Peng; Ge Zhang 009; Jiayi Tian; Xingyuan Bu; et al. (NeurIPS, 2024)

DDK: Distilling Domain Knowledge for Efficient Large Language Models. - Jiaheng Liu; Chenchen Zhang; Jinyang Guo; Yuanxing Zhang; Haoran Que; Ken Deng; Zhiqi Bai; Jie Liu 047; Ge Zhang 009; Jiakai Wang; Yanan Wu; Congnan Liu; et al. (NeurIPS, 2024)

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. - Haoran Que; Jiaheng Liu; Ge Zhang 009; Chenchen Zhang; Xingwei Qu; Yinghao Ma; Feiyu Duan; Zhiqi Bai; Jiakai Wang; Yuanxing Zhang; Xu Tan 003; Jie Fu 001; et al. (NeurIPS, 2024)

Fractional-order rate-dependent thermoelastic diffusion theory based on new definitions of fractional derivatives with non-singular kernels and the associated structural transient dynamic responses analysis of sandwich-like composite laminates. - Chenlin Li; Jiaheng Liu; Tianhu He (Commun. Nonlinear Sci. Numer. Simul., 2024)

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models. - Jiaheng Liu; Zhiqi Bai; Yuanxing Zhang; Chenchen Zhang; Yu Zhang 176; Ge Zhang 009; Jiakai Wang; Haoran Que; Yukang Chen; Wenbo Su; Tiezheng Ge; Jie Fu 001; et al. (CoRR, 2024)

MLAD: A Unified Model for Multi-system Log Anomaly Detection. - Runqiang Zang; Hongcheng Guo; Jian Yang 030; Jiaheng Liu; Zhoujun Li 001; Tieqiao Zheng; Xu Shi; Liangfan Zheng; Bo Zhang 096 (CoRR, 2024)

Lemur: Log Parsing with Entropy Sampling and Chain-of-Thought Merging. - Wei Zhang 031; Hongcheng Guo; Anjie Le; Jian Yang 030; Jiaheng Liu; Zhoujun Li 001; Tieqiao Zheng; Shi Xu; Runqiang Zang; Liangfan Zheng; Bo Zhang 096 (CoRR, 2024)

The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis. - Chen Yang; Junzhuo Li; Xinyao Niu; Xinrun Du; Songyang Gao; Haoran Zhang; Zhaoliang Chen; Xingwei Qu; Ruibin Yuan; Yizhi Li; Jiaheng Liu; Stephen W. Huang; et al. (CoRR, 2024)

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model. - Xinrun Du; Zhouliang Yu; Songyang Gao; Ding Pan; Yuyang Cheng; Ziyang Ma 001; Ruibin Yuan; Xingwei Qu; Jiaheng Liu; Tianyu Zheng; Xinchen Luo; Guorui Zhou; et al. (CoRR, 2024)

MuPT: A Generative Symbolic Music Pretrained Transformer. - Xingwei Qu; Yuelin Bai; Yinghao Ma; Ziya Zhou; Ka Man Lo; Jiaheng Liu; Ruibin Yuan; Lejun Min; Xueling Liu; Tianyu Zhang; Xinrun Du; Shuyue Guo; et al. (CoRR, 2024)

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series. - Ge Zhang 009; Scott Qu; Jiaheng Liu; Chenchen Zhang; Chenghua Lin; Chou Leuang Yu; Danny Pan; Esther Cheng; Jie Liu 047; Qunshu Lin; Raven Yuan; Tuney Zheng; et al. (CoRR, 2024)

R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models. - Ken Deng; Jiaheng Liu; He Zhu; Congnan Liu; Jingxin Li; Jiakai Wang; Peng Zhao; Chenchen Zhang; Yanan Wu; Xueqiao Yin; Yuanxing Zhang; Wenbo Su; et al. (CoRR, 2024)

Towards Real-world Scenario: Imbalanced New Intent Discovery. - Shun Zhang; Chaoran Yan; Jian Yang 030; Jiaheng Liu; Ying Mo; Jiaqi Bai; Tongliang Li; Zhoujun Li 001 (CoRR, 2024)

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. - Ziqiang Liu; Feiteng Fang; Xi Feng; Xinrun Du; Chenhao Zhang 005; Zekun Wang; Yuelin Bai; Qixuan Zhao; Liyang Fan; Chengguang Gan; Hongquan Lin; Jiaming Li 004; et al. (CoRR, 2024)

McEval: Massively Multilingual Code Evaluation. - Linzheng Chai; Shukai Liu; Jian Yang 030; Yuwei Yin; Ke Jin; Jiaheng Liu; Tao Sun 016; Ge Zhang 009; Changyu Ren; Hongcheng Guo; Zekun Wang; Boyang Wang; et al. (CoRR, 2024)

Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level. - Jie Liu 047; Zhanhui Zhou; Jiaheng Liu; Xingyuan Bu; Chao Yang 026; Hansen Zhong; Wanli Ouyang (CoRR, 2024)

GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models. - Leyan Wang; Yonggang Jin; Tianhao Shen; Tianyu Zheng; Xinrun Du; Chenchen Zhang; Wenhao Huang 001; Jiaheng Liu; Shi Wang 002; Ge Zhang 009; Liuyu Xiang; Zhaofeng He (CoRR, 2024)

LongIns: A Challenging Long-context Instruction-based Exam for LLMs. - Shawn Gavin; Tuney Zheng; Jiaheng Liu; Quehry Que; Noah Wang; Jian Yang; Chenchen Zhang; Wenhao Huang 001; Wenhu Chen; Ge Zhang 009 (CoRR, 2024)

MMRA: A Benchmark for Multi-granularity Multi-image Relational Association. - Siwei Wu; Kang Zhu; Yu Bai; Yiming Liang; Yizhi Li; Haoning Wu; Jiaheng Liu; Ruibo Liu; Xingwei Qu; Xuxin Cheng; Ge Zhang 009; Wenhao Huang 001; et al. (CoRR, 2024)

NC-NCD: Novel Class Discovery for Node Classification. - Yue Hou; Xueyuan Chen; He Zhu; Ruomei Liu; Bowen Shi; Jiaheng Liu; Junran Wu; Ke Xu 001 (CoRR, 2024)

I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm. - Yiming Liang; Ge Zhang 009; Xingwei Qu; Tianyu Zheng; Jiawei Guo; Xinrun Du; Zhenzhu Yang; Jiaheng Liu; Chenghua Lin; Lei Ma 008; Wenhao Huang 001; Jiajun Zhang (CoRR, 2024)

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering. - Xianjie Wu; Jian Yang 030; Linzheng Chai; Ge Zhang 009; Jiaheng Liu; Xinrun Du; Di Liang; Daixin Shu; Xianfu Cheng; Tianzhen Sun; Guanglin Niu; Tongliang Li; et al. (CoRR, 2024)

FuzzCoder: Byte-level Fuzzing Test via Large Language Model. - Liqun Yang; Jian Yang 030; Chaoren Wei; Guanglin Niu; Ge Zhang 009; Yunli Wang; Linzheng Chai; Wanxu Xia; Hongcheng Guo; Shun Zhang; Jiaheng Liu; Yuwei Yin; et al. (CoRR, 2024)

OmniBench: Towards The Future of Universal Omni-Language Models. - Yizhi Li; Ge Zhang 009; Yinghao Ma; Ruibin Yuan; Kang Zhu; Hangyu Guo; Yiming Liang; Jiaheng Liu; Jian Yang 003; Siwei Wu; Xingwei Qu; Jinjie Shi; et al. (CoRR, 2024)

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models. - Haoran Que; Feiyu Duan; Liqun He; Yutao Mou; Wangchunshu Zhou; Jiaheng Liu; Wenge Rong; Zekun Moore Wang; Jian Yang 030; Ge Zhang 009; Junran Peng; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

MIO: A Foundation Model on Multimodal Tokens. - Zekun Wang; King Zhu; Chunpu Xu; Wangchunshu Zhou; Jiaheng Liu; Yibo Zhang; Jiashuo Wang; Ning Shi; Siyu Li; Yizhi Li; Haoran Que; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks. - Kaijing Ma; Xinrun Du; Yunran Wang; Haoran Zhang; Zhoufutu Wen; Xingwei Qu; Jian Yang 003; Jiaheng Liu; Minghao Liu 003; Xiang Yue; Wenhao Huang 001; Ge Zhang 009 (CoRR, 2024)

ING-VP: MLLMs cannot Play Easy Vision-based Games Yet. - Haoran Zhang; Hangyu Guo; Shuyue Guo; Meng Cao 002; Wenhao Huang 001; Jiaheng Liu; Ge Zhang 009 (CoRR, 2024)

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models. - Pei Wang; Yanan Wu; Zekun Wang; Jiaheng Liu; Xiaoshuai Song; Zhongyuan Peng; Ken Deng; Chenchen Zhang; Jiakai Wang; Junran Peng; Ge Zhang 009; Hangyu Guo; et al. (CoRR, 2024)

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model. - Siwei Wu; Zhongyuan Peng; Xinrun Du; Tuney Zheng; Minghao Liu 003; Jialong Wu 009; Jiachen Ma 005; Yizhi Li; Jian Yang 030; Wangchunshu Zhou; Qunshu Lin; Junbo Zhao 002; et al. (CoRR, 2024)

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment. - Zekun Moore Wang; Shawn Wang; Kang Zhu; Jiaheng Liu; Ke Xu 001; Jie Fu 001; Wangchunshu Zhou; Wenhao Huang 001 (CoRR, 2024)

Can MLLMs Understand the Deep Implication Behind Chinese Images? - Chenhao Zhang 005; Xi Feng; Yuelin Bai; Xinrun Du; Jinchang Hou; Kaixin Deng; Guangzeng Han; Qinrui Li; Bingli Wang; Jiaheng Liu; Xingwei Qu; Yifei Zhang; et al. (CoRR, 2024)

Aligning CodeLLMs with Direct Preference Optimization. - Yibo Miao; Bofei Gao; Shanghaoran Quan; Junyang Lin; Daoguang Zan; Jiaheng Liu; Jian Yang 003; Tianyu Liu 001; Zhijie Deng (CoRR, 2024)

AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions. - Ziming Li; Qianbo Zang; David Ma; Jiawei Guo; Tuney Zheng; Minghao Liu 003; Xinyao Niu; Yue Wang; Jian Yang 003; Jiaheng Liu; Wanjun Zhong; Wangchunshu Zhou; et al. (CoRR, 2024)

M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation. - Jiaheng Liu; Ken Deng; Congnan Liu; Jian Yang 030; Shukai Liu; He Zhu; Peng Zhao; Linzheng Chai; Yanan Wu; Ke Jin; Ge Zhang 009; Zekun Wang; et al. (CoRR, 2024)

MdEval: Massively Multilingual Code Debugging. - Shukai Liu; Linzheng Chai; Jian Yang 030; Jiajun Shi; He Zhu; Liran Wang; Ke Jin; Wei Zhang 031; Hualei Zhu; Shuyue Guo; Tao Sun 016; Jiaheng Liu; et al. (CoRR, 2024)

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. - Yancheng He; Shilong Li; Jiaheng Liu; Yingshui Tan; Weixun Wang; Hui Huang 021; Xingyuan Bu; Hangyu Guo; Chengwei Hu; Boren Zheng; Zhuoran Lin; Xuepeng Liu; et al. (CoRR, 2024)

PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos. - Meng Cao 002; Haoran Tang; Haoze Zhao; Hangyu Guo; Jiaheng Liu; Ge Zhang 009; Ruyang Liu; Qiang Sun; Ian Reid 003; Xiaodan Liang (CoRR, 2024)

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models. - Zining Wnag; Jinyang Guo; Ruihao Gong; Yang Yong; Aishan Liu; Yushi Huang; Jiaheng Liu; Xianglong Liu 001 (CoRR, 2024)

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models. - Yingshui Tan; Boren Zheng; Baihui Zheng; Kerui Cao; Huiyun Jing; Jincheng Wei; Jiaheng Liu; Yancheng He; Wenbo Su; Xiangyong Zhu; Bo Zheng 007; Kaifu Zhang (CoRR, 2024)

mt4CrossOIE: Multi-stage tuning for cross-lingual open information extraction. - Tongliang Li; Zixiang Wang; Linzheng Chai; Jian Yang 030; Jiaqi Bai; Yuwei Yin; Jiaheng Liu; Hongcheng Guo; Liqun Yang; Hebboul Zine El Abidine; Zhoujun Li 001 (Expert Syst. Appl., 2024)

Reuse distance-based shared LLC management mechanism for heterogeneous CPU-GPU systems. - Jiaheng Liu; Ryusuke Egawa; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (IEICE Electron. Express, 2024)

A unified efficient deep image compression framework and its application on human-centric Task. - Xueyuan Chen; Zhihao Hu; Guo Lu; Jiaheng Liu (Multim. Tools Appl., 2024)

Deep learning-based multimodal fusion of the surface ECG and clinical features in prediction of atrial fibrillation recurrence following catheter ablation. - Yue Qiu; Hongcheng Guo; Shixin Wang 010; Shu Yang; Xiafeng Peng; Dongqin Xiayao; Renjie Chen; Jian Yang; Jiaheng Liu; Mingfang Li; Zhoujun Li; Hongwu Chen; et al. (BMC Medical Informatics Decis. Mak., 2024)

XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning. - Linzheng Chai; Jian Yang 030; Tao Sun 016; Hongcheng Guo; Jiaheng Liu; Bing Wang; Xinnian Liang; Jiaqi Bai; Tongliang Li; Qiyao Peng 001; Zhoujun Li 001 (AAAI, 2025)

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering. - Xianjie Wu; Jian Yang 030; Linzheng Chai; Ge Zhang 009; Jiaheng Liu; Xeron Du; Di Liang; Daixin Shu; Xianfu Cheng; Tianzhen Sun; Tongliang Li; Zhoujun Li 001; et al. (AAAI, 2025)

Can MLLMs Understand the Deep Implication Behind Chinese Images? - Chenhao Zhang 005; Xi Feng; Yuelin Bai; Xeron Du; Jinchang Hou; Kaixin Deng; Guangzeng Han; Qinrui Li; Bingli Wang; Jiaheng Liu; Xingwei Qu; Yifei Zhang; et al. (ACL (1), 2025)

VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation. - Xinlong Chen; Yuanxing Zhang; Chongling Rao; Yushuo Guan; Jiaheng Liu; Fuzheng Zhang; Chengru Song; Qiang Liu 006; Di Zhang; Tieniu Tan (ACL (Findings), 2025)

See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models. - Jihao Gu; Yingyao Wang; Pi Bu; Chen Wang; Ziming Wang; Tengtao Song; Donglai Wei 004; Jiale Yuan; Yingxiu Zhao; Yancheng He; Shilong Li; Jiaheng Liu; et al. (ACL (Findings), 2025)

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. - Yancheng He; Shilong Li; Jiaheng Liu; Yingshui Tan; Weixun Wang; Hui Huang 021; Xingyuan Bu; Hangyu Guo; Chengwei Hu; Boren Zheng; Zhuoran Lin; Dekai Sun; et al. (ACL (1), 2025)

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? - Yancheng He; Shilong Li; Jiaheng Liu; Weixun Wang; Xingyuan Bu; Ge Zhang 009; Z. Y. Peng; Zhaoxiang Zhang 001; Zhicheng Zheng; Wenbo Su; Bo Zheng 007 (ACL (1), 2025)

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. - Siming Huang; Tianhao Cheng; Jason Klein Liu; Weidi Xu; Jiaran Hao; Liuyihan Song; Yang Xu; Jian Yang 030; Jiaheng Liu; Chenchen Zhang; Linzheng Chai; Ruifeng Yuan; et al. (ACL (1), 2025)

MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training. - Hui Huang 021; Jiaheng Liu; Yancheng He; Shilong Li; Bing Xu; Conghui Zhu; Muyun Yang; Tiejun Zhao (ACL (1), 2025)

Quantification of Large Language Model Distillation. - Sunbowen Lee; Junting Zhou; Chang Ao; Kaige Li; Xeron Du; Sirui He; Haihong Wu; Tianci Liu 011; Jiaheng Liu; Hamid Alinejad-Rokny; Min Yang 007; Yitao Liang; et al. (ACL (1), 2025)

M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation. - Jiaheng Liu; Ken Deng; Congnan Liu; Jian Yang 030; Shukai Liu; He Zhu; Peng Zhao; Linzheng Chai; Yanan Wu; Ke Jin; Ge Zhang 009; Zekun Moore Wang; et al. (ACL (1), 2025)

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models. - Yingshui Tan; Boren Zheng; Baihui Zheng; Kerui Cao; Huiyun Jing; Jincheng Wei; Jiaheng Liu; Yancheng He; Wenbo Su; Xiaoyong Zhu; Bo Zheng; Kaifu Zhang (ACL (1), 2025)

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment. - Zekun Moore Wang; Shenzhi Wang; King Zhu; Jiaheng Liu; Ke Xu 001; Jie Fu 001; Wangchunshu Zhou; Wenhao Huang 001 (ACL (1), 2025)

LIME: Less Is More for MLLM Evaluation. - King Zhu; Qianbo Zang; Shian Jia; Siwei Wu; Feiteng Fang; Yizhi Li; Shuyue Guo; Tianyu Zheng; Jiawei Guo; Bo Li; Haoning Wu; Xingwei Qu; et al. (ACL (Findings), 2025)

McEval: Massively Multilingual Code Evaluation. - Linzheng Chai; Shukai Liu; Jian Yang 030; Yuwei Yin; Ke Jin; Jiaheng Liu; Tao Sun 016; Ge Zhang 009; Changyu Ren; Hongcheng Guo; Noah Wang; Boyang Wang; et al. (ICLR, 2025)

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks. - Kaijing Ma; Xeron Du; Yunran Wang; Haoran Zhang; Zhoufutu Wen; Xingwei Qu; Jian Yang 003; Jiaheng Liu; Minghao Liu 003; Xiang Yue; Wenhao Huang 001; Ge Zhang 009 (ICLR, 2025)

MuPT: A Generative Symbolic Music Pretrained Transformer. - Xingwei Qu; Yuelin Bai; Yinghao Ma; Ziya Zhou; Ka Man Lo; Jiaheng Liu; Ruibin Yuan; Lejun Min; Xueling Liu; Tianyu Zhang; Xeron Du; Shuyue Guo; et al. (ICLR, 2025)

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models. - Pei Wang; Yanan Wu; Noah Wang; Jiaheng Liu; Xiaoshuai Song; Z. Y. Peng; Ken Deng; Chenchen Zhang; Jiakai Wang; Junran Peng; Ge Zhang 009; Hangyu Guo; et al. (ICLR, 2025)

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. - Shilong Li; Yancheng He; Hui Huang 021; Xingyuan Bu; Jiaheng Liu; Hangyu Guo; Weixun Wang; Jihao Gu; Wenbo Su; Bo Zheng 007 (NAACL (Findings), 2025)

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. - Jianyu Liu; Hangyu Guo; Ranjie Duan; Xingyuan Bu; Yancheng He; Shilong Li; Hui Huang 021; Jiaheng Liu; Yucheng Wang; Chenchen Jing; Xingwei Qu; Xiao Zhang; et al. (NAACL (Long Papers), 2025)

Molecular graph contrastive learning with line graph. - Xueyuan Chen; Shangzhe Li; Ruomei Liu; Bowen Shi; Jiaheng Liu; Junran Wu; Ke Xu 001 (Pattern Recognit., 2025)

ProgCo: Program Helps Self-Correction of Large Language Models. - Xiaoshuai Song; Yanan Wu; Weixun Wang; Jiaheng Liu; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

Aligning Instruction Tuning with Pre-training. - Yiming Liang; Tianyu Zheng; Xinrun Du; Ge Zhang 009; Jiaheng Liu; Xingwei Qu; Wenqiang Zu; Xingrun Xing; Chujie Zheng; Lei Ma 008; Wenhu Chen; Guoyin Wang; et al. (CoRR, 2025)

Distillation Quantification for Large Language Models. - Sunbowen Lee; Junting Zhou; Chang Ao; Kaige Li; Xinrun Du; Sirui He; Jiaheng Liu; Min Yang 007; Zhoufutu Wen; Shiwen Ni (CoRR, 2025)

SafeDialBench: A Fine-Grained Safety Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks. - Hongye Cao; Yanming Wang; Sijia Jing; Ziyue Peng; Zhixin Bai; Zhe Cao; Meng Fang; Fan Feng; Boyan Wang; Jiaheng Liu; Tianpei Yang; Jing Huo; et al. (CoRR, 2025)

Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models. - Yingshui Tan; Yilei Jiang; Yanshi Li; Jiaheng Liu; Xingyuan Bu; Wenbo Su; Xiangyu Yue 001; Xiaoyong Zhu; Bo Zheng 007 (CoRR, 2025)

ChineseSimpleVQA - "See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language Models. - Jihao Gu; Yingyao Wang; Pi Bu; Chen Wang; Ziming Wang; Tengtao Song; Donglai Wei 004; Jiale Yuan; Yingxiu Zhao; Yancheng He; Shilong Li; Jiaheng Liu; et al. (CoRR, 2025)

Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs. - Longxu Dou; Qian Liu 012; Fan Zhou; Changyu Chen; Zili Wang; Ziqi Jin; Zichen Liu; Tongyao Zhu; Cunxiao Du; Penghui Yang 001; Haonan Wang; Jiaheng Liu; et al. (CoRR, 2025)

SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models. - Xianfu Cheng; Wei Zhang 021; Shiwei Zhang; Jian Yang 030; Xiangyuan Guan; Xianjie Wu; Xiang Li 117; Ge Zhang 009; Jiaheng Liu; Yuying Mai; Yutao Zeng; Zhoufutu Wen; et al. (CoRR, 2025)

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines. - M.-A-P. Team; Xinrun Du; Yifan Yao; Kaijing Ma; Bingli Wang; Tianyu Zheng; Kang Zhu; Minghao Liu; Yiming Liang; Xiaolong Jin; Zhenlin Wei; Chujie Zheng; et al. (CoRR, 2025)

CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models. - Alexander Zhang; Marcus Dong; Jiaheng Liu; Wei Zhang 021; Yejie Wang; Jian Yang 003; Ge Zhang 009; Tianyu Liu 001; Zhongyuan Peng; Yingshui Tan; Yuanxing Zhang; Zhexu Wang; et al. (CoRR, 2025)

AIR: Complex Instruction Generation via Automatic Iterative Refinement. - Wei Liu; Yancheng He; Hui Huang 021; Chengwei Hu; Jiaheng Liu; Shilong Li; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? - Yancheng He; Shilong Li; Jiaheng Liu; Weixun Wang; Xingyuan Bu; Ge Zhang 009; Zhongyuan Peng; Zhaoxiang Zhang 001; Zhicheng Zheng; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation. - Yijia Luo; Yulin Song; Xingyao Zhang; Jiaheng Liu; Weixun Wang; Gengru Chen; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

A Comprehensive Survey on Long Context Language Modeling. - Jiaheng Liu; Dawei Zhu; Zhiqi Bai; Yancheng He; Huanxuan Liao; Haoran Que; Zekun Wang; Chenchen Zhang; Ge Zhang 009; Jiebin Zhang; Yuanxing Zhang; Zhuo Chen; et al. (CoRR, 2025)

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values. - M.-A-P. Team; Siwei Wu; Jincheng Ren; Xinrun Du; Shuyue Guo; Xingwei Qu; Yiming Liang; Jie Liu 047; Yunwen Li; Tianyu Zheng; Boyu Feng; Huaqing Yuan; et al. (CoRR, 2025)

Mavors: Multi-granularity Video Representation for Multimodal Large Language Model. - Yang Shi 009; Jiaheng Liu; Yushuo Guan; Zhenhua Wu; Yuanxing Zhang; Zihao Wang; Weihong Lin; Jingyun Hua; Zekun Wang; Xinlong Chen; Bohan Zeng; Wentao Zhang 001; et al. (CoRR, 2025)

IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs. - David Ma; Yuanxing Zhang; Jincheng Ren; Jarvis Guo; Yifan Yao; Zhenlin Wei; Zhenzhu Yang; Zhongyuan Peng; Boyu Feng; Jun Ma; Xiao Gu 009; Zhoufutu Wen; et al. (CoRR, 2025)

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. - Jianyu Liu; Hangyu Guo; Ranjie Duan; Xingyuan Bu; Yancheng He; Shilong Li; Hui Huang 021; Jiaheng Liu; Yucheng Wang; Chenchen Jing; Xingwei Qu; Xiao Zhang; et al. (CoRR, 2025)

Flow-GRPO: Training Flow Matching Models via Online RL. - Jie Liu 047; Gongye Liu; Jiajun Liang; Yangguang Li 001; Jiaheng Liu; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Wanli Ouyang (CoRR, 2025)

Table-R1: Region-based Reinforcement Learning for Table Understanding. - Zhenhe Wu; Jian Yang 003; Jiaheng Liu; Xianjie Wu; Changzai Pan; Jie Zhang; Yu Zhao; Shuangyong Song; Yongxiang Li; Zhoujun Li 001 (CoRR, 2025)

Think-J: Learning to Think for Generative LLM-as-a-Judge. - Hui Huang 021; Yancheng He; Hongli Zhou 001; Rui Zhang; Wei Liu; Weixun Wang; Wenbo Su; Bo Zheng 007; Jiaheng Liu (CoRR, 2025)

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation. - Jiajun Shi; Jian Yang; Jiaheng Liu; Xingyuan Bu; Jiangjie Chen; Junting Zhou; Kaijing Ma; Zhoufutu Wen; Bingli Wang; Yancheng He; Liang Song; Hualei Zhu; et al. (CoRR, 2025)

Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models. - Baihui Zheng; Boren Zheng; Kerui Cao; Yingshui Tan; Zhendong Liu; Weixun Wang; Jiaheng Liu; Jian Yang; Wenbo Su; Xiaoyong Zhu; Bo Zheng 007; Kaifu Zhang (CoRR, 2025)

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models. - Baolin Zheng; Guanlin Chen; Hongqiong Zhong; Qingyang Teng; Yingshui Tan; Zhendong Liu; Weixun Wang; Jiaheng Liu; Jian Yang 003; Huiyun Jing; Jincheng Wei; Wenbo Su; et al. (CoRR, 2025)

ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding. - David Ma; Huaqing Yuan; Xingjian Wang; Qianbo Zang; Tianci Liu 011; Xinyang He; Yanbin Wei; Jiawei Guo; Ni Jiahui; Zhenzhu Yang; Meng Cao 002; Shanghaoran Quan; et al. (CoRR, 2025)

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. - Weixun Wang; Shaopan Xiong; Gengru Chen; Wei Gao; Sheng Guo 005; Yancheng He; Ju Huang; Jiaheng Liu; Zhendong Li; Xiaoyang Li; Zichen Liu; Haizhou Zhao; et al. (CoRR, 2025)

TaskCraft: Automated Generation of Agentic Tasks. - Dingfeng Shi; Jingyi Cao; Qianben Chen; Weichen Sun; Weizhen Li; Hongxuan Lu; Fangchen Dong; Tianrui Qin; King Zhu; Minghao Liu 003; Jian Yang 003; Ge Zhang 009; et al. (CoRR, 2025)

Scaling Test-time Compute for LLM Agents. - King Zhu; Hanhao Li; Siwei Wu; Tianshun Xing; Dehua Ma; Xiangru Tang; Minghao Liu 003; Jian Yang 003; Jiaheng Liu; Yuchen Eleanor Jiang; Changwang Zhang; Chenghua Lin; et al. (CoRR, 2025)

OAgents: An Empirical Study of Building Effective Agents. - He Zhu; Tianrui Qin; King Zhu; Heyuan Huang; Yeyi Guan; Jinxiang Xia; Yi Yao; Hanhao Li; Ningning Wang; Pai Liu; Tianhao Peng; Xin Gui; et al. (CoRR, 2025)

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning. - Hui Xie; Yuhe Liu; Shaoqi Yang; Jinyang Guo; Yufei Guo; Yuqing Ma; Jiaxin Chen; Jiaheng Liu; Xianglong Liu 001 (CoRR, 2025)

ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation. - Chenchen Zhang; Yuhang Li; Can Xu; Jiaheng Liu; Ao Liu; Shihui Hu; Dengpeng Wu; Guanhua Huang; Kejiao Li; Qi Yi; Ruibin Xiong; Haotian Zhu; et al. (CoRR, 2025)

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization. - Zhongyuan Peng; Yifan Yao; Kaijing Ma; Shuyue Guo; Yizhe Li; Yichi Zhang; Chenchen Zhang; Yifan Zhang; Zhouliang Yu; Luming Li; Minghao Liu 003; Yihang Xia; et al. (CoRR, 2025)

A Survey on Latent Reasoning. - Ruijie Zhu 003; Tianhao Peng; Tianhao Cheng; Xingwei Qu; Jinfa Huang; Dawei Zhu; Hao Wang; Kaiwen Xue; Xuanliang Zhang; Yong Shan; Tianle Cai; Taylor Kergan; et al. (CoRR, 2025)

Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving. - Xiangru Tang; Tianrui Qin; Tianhao Peng; Ziyang Zhou; Daniel Shao; Tingting Du; Xinming Wei; Peng Xia; Fang Wu; He Zhu; Ge Zhang 009; Jiaheng Liu; et al. (CoRR, 2025)

KAT-V1: Kwai-AutoThink Technical Report. - Zizheng Zhan; Ken Deng; Huaixi Tang; Wen Xiang; Kun Wu; Weihao Li; Wenqiang Zhu; Jingxuan Xu; Lecheng Huang; Zong-Xian Feng; Shaojie Wang; Shangpeng Yan; et al. (CoRR, 2025)

Multilingual Multimodal Software Developer for Code Generation. - Linzheng Chai; Jian Yang 030; Shukai Liu; Wei Zhang 021; Liran Wang; Ke Jin; Tao Sun 016; Congnan Liu; Chenchen Zhang; Hualei Zhu; Jiaheng Liu; Xianjie Wu; et al. (CoRR, 2025)

IFEvalCode: Controlled Code Generation. - Jian Yang 003; Wei Zhang 021; Shukai Liu; Linzheng Chai; Yingshui Tan; Jiaheng Liu; Ge Zhang 009; Wangchunshu Zhou; Guanglin Niu; Zhoujun Li 001; Binyuan Hui; Junyang Lin (CoRR, 2025)

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning. - Jialiang Hong; Taihang Zhen; Kai Chen 026; Jiaheng Liu; Wenpeng Zhu; Jing Huo; Yang Gao 001; Depeng Wang; Haitao Wan; Xi Yang; Boyan Wang; Fanyu Meng (CoRR, 2025)

Efficient Agents: Building Effective Agents While Reducing Cost. - Ningning Wang; Xavier Hu; Pai Liu; He Zhu; Yue Hou; Heyuan Huang; Shengyu Zhang; Jian Yang 003; Jiaheng Liu; Ge Zhang 009; Changwang Zhang; Jun Wang; et al. (CoRR, 2025)

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning. - Zihe Liu; Jiashun Liu; Yancheng He; Weixun Wang; Jiaheng Liu; Ling Pan; Xinyu Hu; Shaopan Xiong; Ju Huang; Jian Hu; Shengyi Huang; Siran Yang; et al. (CoRR, 2025)