The IBM speech-to-speech translation system for smartphone: Improvements for resource-constrained tasks. - Bowen Zhou 002; Xiaodong Cui; Songfang Huang; Martin Cmejrek; Wei Zhang 057; Jian Xue; Jia Cui; Bing Xiang; Gregg Daggett; Upendra V. Chaudhari; Sameer Maskey; Etienne Marcheret (Comput. Speech Lang., 2013)

Empirical Study on Deep Learning Models for Question Answering. - Yang Yu 029; Wei Zhang 057; Chung-Wei Hang; Bowen Zhou 002 (CoRR, 2015)

Structured Memory for Neural Turing Machines. - Wei Zhang 057; Yang Yu 029; Bowen Zhou 002 (CoRR, 2015)

Pointing the Unknown Words. - Çaglar Gülçehre; Sungjin Ahn; Ramesh Nallapati; Bowen Zhou 002; Yoshua Bengio (ACL (1), 2016)

Simple Question Answering by Attentive Convolutional Neural Network. - Wenpeng Yin 001; Mo Yu; Bing Xiang; Bowen Zhou 002; Hinrich Schütze (COLING, 2016)

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. - Ramesh Nallapati; Bowen Zhou 002; Cícero Nogueira dos Santos; Çaglar Gülçehre; Bing Xiang (CoNLL, 2016)

End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking. - Yang Yu 029; Wei Zhang 057; Kazi Saidul Hasan; Mo Yu; Bing Xiang; Bowen Zhou 002 (CoRR, 2016)

GaDei: On Scale-up Training As A Service For Deep Learning. - Wei Zhang 057; Minwei Feng; Yunhui Zheng; Yufei Ren; Yandong Wang; Ji Liu; Peng Liu 010; Bing Xiang; Li Zhang 002; Bowen Zhou 002 (CoRR, 2016)

ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. - Wenpeng Yin 001; Hinrich Schütze; Bing Xiang; Bowen Zhou 002 (Trans. Assoc. Comput. Linguistics, 2016)

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. - Iulian Vlad Serban; Tim Klinger; Gerald Tesauro; Kartik Talamadupula; Bowen Zhou 002; Yoshua Bengio; Aaron C. Courville (AAAI, 2017)

Improved Neural Relation Detection for Knowledge Base Question Answering. - Mo Yu; Wenpeng Yin 001; Kazi Saidul Hasan; Cícero Nogueira dos Santos; Bing Xiang; Bowen Zhou 002 (ACL (1), 2017)

GaDei: On Scale-Up Training as a Service for Deep Learning. - Wei Zhang 057; Minwei Feng; Yunhui Zheng; Yufei Ren; Yandong Wang; Ji Liu; Peng Liu 010; Bing Xiang; Li Zhang 002; Bowen Zhou 002; Fei Wang 001 (ICDM, 2017)

A Structured Self-Attentive Sentence Embedding. - Zhouhan Lin; Minwei Feng; Cícero Nogueira dos Santos; Mo Yu; Bing Xiang; Bowen Zhou 002; Yoshua Bengio (ICLR (Poster), 2017)

R3: Reinforced Reader-Ranker for Open-Domain Question Answering. - Shuohang Wang; Mo Yu; Xiaoxiao Guo; Zhiguo Wang; Tim Klinger; Wei Zhang 057; Shiyu Chang; Gerald Tesauro; Bowen Zhou 002; Jing Jiang 001 (CoRR, 2017)

Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization. - Wei Zhang 057; Bowen Zhou 002 (CoRR, 2017)

R3: Reinforced Ranker-Reader for Open-Domain Question Answering. - Shuohang Wang; Mo Yu; Xiaoxiao Guo; Zhiguo Wang; Tim Klinger; Wei Zhang 057; Shiyu Chang; Gerry Tesauro; Bowen Zhou 002; Jing Jiang 001 (AAAI, 2018)

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. - Ning Ding 002; Yulin Chen; Bokai Xu; Yujia Qin; Shengding Hu; Zhiyuan Liu 001; Maosong Sun 001; Bowen Zhou 002 (EMNLP, 2023)

Sparse Low-rank Adaptation of Pre-trained Language Models. - Ning Ding 002; Xingtai Lv; Qiaosen Wang; Yulin Chen; Bowen Zhou 002; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2023)

CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. - Kaiyan Zhang; Ning Ding 002; Biqing Qi; Xuekai Zhu; Xinwei Long; Bowen Zhou 002 (EMNLP, 2023)

PaD: Program-aided Distillation Specializes Large Models in Reasoning. - Xuekai Zhu; Biqing Qi; Kaiyan Zhang; Xingwei Long; Bowen Zhou 002 (CoRR, 2023)

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. - Ning Ding 002; Yulin Chen; Bokai Xu; Yujia Qin; Zhi Zheng; Shengding Hu; Zhiyuan Liu 001; Maosong Sun 001; Bowen Zhou 002 (CoRR, 2023)

When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study. - Juan Wen; Shupeng Cheng; Peng Xu 005; Bowen Zhou 002; Radu Timofte; Weiyan Hou; Luc Van Gool (CoRR, 2023)

Large Language Models are Zero Shot Hypothesis Proposers. - Biqing Qi; Kaiyan Zhang; Haoxiang Li; Kai Tian; Sihang Zeng; Zhang-Ren Chen; Bowen Zhou 002 (CoRR, 2023)

Large Model Based Referring Camouflaged Object Detection. - Shupeng Cheng; Ge-Peng Ji; Pengda Qin; Deng-Ping Fan; Bowen Zhou 002; Peng Xu 005 (CoRR, 2023)

SAM struggles in concealed scenes - empirical study on "Segment Anything". - Ge-Peng Ji; Deng-Ping Fan; Peng Xu 005; Bowen Zhou 002; Ming-Ming Cheng; Luc Van Gool (Sci. China Inf. Sci., 2023)

Generative Multi-Modal Knowledge Retrieval with Large Language Models. - Xinwei Long; Jiali Zeng; Fandong Meng; Zhiyuan Ma 005; Kaiyan Zhang; Bowen Zhou 002; Jie Zhou 016 (AAAI, 2024)

AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing. - Zhiyuan Ma 005; Guoli Jia; Bowen Zhou 002 (AAAI, 2024)

LMD: Faster Image Reconstruction with Latent Masking Diffusion. - Zhiyuan Ma 005; Zhihuan Yu; Jianjun Li; Bowen Zhou 002 (AAAI, 2024)

Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever. - Xinwei Long; Jiali Zeng; Fandong Meng; Jie Zhou 016; Bowen Zhou 002 (ACL (Findings), 2024)

SMR: State Memory Replay for Long Sequence Modeling. - Biqing Qi; Junqi Gao; Kaiyan Zhang; Dong Li 016; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (ACL (Findings), 2024)

CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following. - Kaiyan Zhang; Jianyu Wang; Ermo Hua; Biqing Qi; Ning Ding 002; Bowen Zhou 002 (ACL (1), 2024)

Empowering Private Tutoring by Chaining Large Language Models. - Yulin Chen; Ning Ding 002; Hai-Tao Zheng 002; Zhiyuan Liu 001; Maosong Sun 001; Bowen Zhou 002 (CIKM, 2024)

Interactive Continual Learning: Fast and Slow Thinking. - Biqing Qi; Xinquan Chen; Junqi Gao; Dong Li 016; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (CVPR, 2024)

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion. - Pancheng Zhao; Peng Xu 005; Pengda Qin; Deng-Ping Fan; Zhicheng Zhang; Guoli Jia; Bowen Zhou 002; Jufeng Yang (CVPR, 2024)

MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making. - Dayuan Fu; Biqing Qi; Yihuai Gao; Che Jiang; Guanting Dong; Bowen Zhou 002 (EMNLP, 2024)

On the token distance modeling ability of higher RoPE attention dimension. - Xiangyu Hong; Che Jiang; Biqing Qi; Fandong Meng; Mo Yu; Bowen Zhou 002; Jie Zhou 016 (EMNLP (Findings), 2024)

Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. - Xingtai Lv; Ning Ding 002; Kaiyan Zhang; Ermo Hua; Ganqu Cui; Bowen Zhou 002 (EMNLP, 2024)

Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative Watermarking. - Zhiyuan Ma 005; Guoli Jia; Biqing Qi; Bowen Zhou 002 (ACM Multimedia, 2024)

On Large Language Models' Hallucination with Regard to Known Facts. - Che Jiang; Biqing Qi; Xiangyu Hong; Dayuan Fu; Yang Cheng; Fandong Meng; Mo Yu; Bowen Zhou 002; Jie Zhou 016 (NAACL-HLT, 2024)

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning. - Xuekai Zhu; Biqing Qi; Kaiyan Zhang; Xinwei Long; Zhouhan Lin; Bowen Zhou 002 (NAACL-HLT, 2024)

Neural Residual Diffusion Models for Deep Scalable Vision Generation. - Zhiyuan Ma 005; Liangliang Zhao; Biqing Qi; Bowen Zhou 002 (NeurIPS, 2024)

Exploring Adversarial Robustness of Deep State Space Models. - Biqing Qi; Yiang Luo; Junqi Gao; Pengfei Li 011; Kai Tian; Zhiyuan Ma 005; Bowen Zhou 002 (NeurIPS, 2024)

UltraMedical: Building Specialized Generalists in Biomedicine. - Kaiyan Zhang; Sihang Zeng; Ermo Hua; Ning Ding 002; Zhang-Ren Chen; Zhiyuan Ma 005; Haoxin Li; Ganqu Cui; Biqing Qi; Xuekai Zhu; Xingtai Lv; Jinfang Hu; et al. (NeurIPS, 2024)

Critical Data Size of Language Models from a Grokking Perspective. - Xuekai Zhu; Yao Fu; Bowen Zhou 002; Zhouhan Lin (CoRR, 2024)

Investigating Deep Watermark Security: An Adversarial Transferability Perspective. - Biqing Qi; Junqi Gao; Yiang Luo; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (CoRR, 2024)

Interactive Continual Learning: Fast and Slow Thinking. - Biqing Qi; Xingquan Chen; Junqi Gao; Dong Li 016; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (CoRR, 2024)

Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning. - Biqing Qi; Junqi Gao; Xingquan Chen; Dong Li 016; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (CoRR, 2024)

Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models. - Ning Ding 002; Yulin Chen; Ganqu Cui; Xingtai Lv; Weilin Zhao; Ruobing Xie; Bowen Zhou 002; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Jia Deng; Boji Shan; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; Bowen Zhou 002; et al. (CoRR, 2024)

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process. - Ermo Hua; Biqing Qi; Kaiyan Zhang; Yue Yu 008; Ning Ding 002; Xingtai Lv; Kai Tian; Bowen Zhou 002 (CoRR, 2024)

Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning. - Qingming Li; Juzheng Miao; Puning Zhao; Li Zhou; Shouling Ji; Bowen Zhou 002; Furui Liu (CoRR, 2024)

Exploring Adversarial Robustness of Deep State Space Models. - Biqing Qi; Yang Luo; Junqi Gao; Pengfei Li 011; Kai Tian; Zhiyuan Ma 005; Bowen Zhou 002 (CoRR, 2024)

Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing. - Biqing Qi; Pengfei Li 011; Fangyuan Li; Junqi Gao; Kaiyan Zhang; Bowen Zhou 002 (CoRR, 2024)

Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding. - Kaiyan Zhang; Jianyu Wang; Ning Ding 002; Biqing Qi; Ermo Hua; Xingtai Lv; Bowen Zhou 002 (CoRR, 2024)

EVA-Score: Evaluation of Long-form Summarization on Informativeness through Extraction and Validation. - Yuchen Fan; Xin Zhong; Chengsi Wang; Gaoche Wu; Bowen Zhou 002 (CoRR, 2024)

Towards Building Specialized Generalist AI with System 1 and System 2 Fusion. - Kaiyan Zhang; Biqing Qi; Bowen Zhou 002 (CoRR, 2024)

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation. - Biqing Qi; Kaiyan Zhang; Kai Tian; Haoxiang Li; Zhang-Ren Chen; Sihang Zeng; Ermo Hua; Jinfang Hu; Bowen Zhou 002 (CoRR, 2024)

SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning. - Biqing Qi; Junqi Gao; Xinquan Chen; Dong Li 016; Weinan Zhang 003; Bowen Zhou 002 (CoRR, 2024)

MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL. - Wenxuan Xie; Gaochen Wu; Bowen Zhou 002 (CoRR, 2024)

CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations. - Yuchen Fan; Xin Zhong; Heng Zhou; Yuchen Zhang; Mingyu Liang; Chengxing Xie; Ermo Hua; Ning Ding 002; Bowen Zhou 002 (CoRR, 2024)

Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices. - Zhiyuan Ma 005; Yuzhu Zhang; Guoli Jia; Liangliang Zhao; Yichao Ma; Mingjie Ma; Gaofeng Liu; Kaiyan Zhang; Jianjun Li; Bowen Zhou 002 (CoRR, 2024)

Automating Exploratory Proteomics Research via Language Models. - Ning Ding 002; Shang Qu; Linhai Xie; Yifei Li; Zaoqu Liu; Kaiyan Zhang; Yibai Xiong; Yuxin Zuo; Zhangren Chen; Ermo Hua; Xingtai Lv; Youbang Sun; et al. (CoRR, 2024)

Free Process Rewards without Process Labels. - Lifan Yuan; Wendi Li; Huayu Chen; Ganqu Cui; Ning Ding 002; Kai Zhang 033; Bowen Zhou 002; Zhiyuan Liu 001; Hao Peng 001 (CoRR, 2024)

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization. - Biqing Qi; Zhouyi Qian; Yiang Luo; Junqi Gao; Dong Li 016; Kaiyan Zhang; Bowen Zhou 002 (CoRR, 2024)

How to Synthesize Text Data without Model Collapse? - Xuekai Zhu; Daixuan Cheng; Hengli Li; Kaiyan Zhang; Ermo Hua; Xingtai Lv; Ning Ding 002; Zhouhan Lin; Zilong Zheng; Bowen Zhou 002 (CoRR, 2024)

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization. - Ermo Hua; Che Jiang; Xingtai Lv; Kaiyan Zhang; Ning Ding 002; Youbang Sun; Biqing Qi; Yuchen Fan; Xuekai Zhu; Bowen Zhou 002 (CoRR, 2024)

Generative AI for Complex Scenarios: Language Models are Sequence Processors. - Bowen Zhou 002; Ning Ding 002 (Int. J. Artif. Intell. Robotics Res., 2024)

Enhancing Adversarial Transferability via Information Bottleneck Constraints. - Biqing Qi; Junqi Gao; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (IEEE Signal Process. Lett., 2024)

Improving Robustness of Intent Detection Under Adversarial Attacks: A Geometric Constraint Perspective. - Biqing Qi; Bowen Zhou 002; Weinan Zhang 003; Jianxing Liu; Ligang Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines. - Xinwei Long; Zhiyuan Ma 005; Ermo Hua; Kaiyan Zhang; Biqing Qi; Bowen Zhou 002 (AAAI, 2025)

Fusing Highly Specialized Language Models for Comprehensive Expertise. - Ning Ding 002; Yulin Chen; Ganqu Cui; Xingtai Lv; Weilin Zhao; Kaiyan Zhang; Ruobing Xie; Bowen Zhou 002; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2025)

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process. - Ermo Hua; Biqing Qi; Kaiyan Zhang; Kai Tian; Xingtai Lv; Ning Ding 002; Bowen Zhou 002 (ACL (1), 2025)

Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System. - Haoyang Su; Renqi Chen; Shixiang Tang; Zhenfei Yin; Xinzhe Zheng 001; Jinzhe Li; Biqing Qi; Qi Wu; Hui Li 037; Wanli Ouyang; Philip Torr 001; Bowen Zhou 002; et al. (ACL (1), 2025)

Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback. - Jiakang Yuan; Xiangchao Yan; Bo Zhang 069; Tao Chen 003; Botian Shi; Wanli Ouyang; Yu Qiao 001; Lei Bai 001; Bowen Zhou 002 (ACL (1), 2025)

Less is More: Efficient Model Merging with Binary Task Switch. - Biqing Qi; Fangyuan Li; Zhen Wang 004; Junqi Gao; Dong Li 016; Peng Ye 006; Bowen Zhou 002 (CVPR, 2025)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Boji Shan; Zeyuan Liu; Jia Deng; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; et al. (ICLR, 2025)

OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees. - Kaiyan Zhang; Jiayuan Zhang 001; Haoxin Li; Xuekai Zhu; Ermo Hua; Xingtai Lv; Ning Ding 002; Biqing Qi; Bowen Zhou 002 (ICLR, 2025)

Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback. - Jiakang Yuan; Xiangchao Yan; Botian Shi; Tao Chen 003; Wanli Ouyang; Bo Zhang 069; Lei Bai 001; Yu Qiao 001; Bowen Zhou 002 (CoRR, 2025)

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding. - Yuxin Zuo; Shang Qu; Yifei Li; Zhangren Chen; Xuekai Zhu; Ermo Hua; Kaiyan Zhang; Ning Ding 002; Bowen Zhou 002 (CoRR, 2025)

Process Reinforcement through Implicit Rewards. - Ganqu Cui; Lifan Yuan; Zefan Wang; Hanbin Wang; Wendi Li; Bingxiang He; Yuchen Fan; Tianyu Yu 002; Qixin Xu; Weize Chen; Jiarui Yuan; Huayu Chen; et al. (CoRR, 2025)

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling. - Runze Liu 002; Junqi Gao; Jian Zhao; Kaiyan Zhang; Xiu Li 001; Biqing Qi; Wanli Ouyang; Bowen Zhou 002 (CoRR, 2025)

Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models. - Xingtai Lv; Youbang Sun; Kaiyan Zhang; Shang Qu; Xuekai Zhu; Yuchen Fan; Yi Wu; Ermo Hua; Xinwei Long; Ning Ding 002; Bowen Zhou 002 (CoRR, 2025)

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. - Jian Zhao; Runze Liu 002; Kaiyan Zhang; Zhimu Zhou; Junqi Gao; Dong Li 016; Jiafei Lyu; Zhouyi Qian; Biqing Qi; Xiu Li 001; Bowen Zhou 002 (CoRR, 2025)

TTRL: Test-Time Reinforcement Learning. - Yuxin Zuo; Kaiyan Zhang; Shang Qu; Li Sheng; Xuekai Zhu; Biqing Qi; Youbang Sun; Ganqu Cui; Ning Ding 002; Bowen Zhou 002 (CoRR, 2025)

Context-Aware Autoregressive Models for Multi-Conditional Image Generation. - Yixiao Chen; Zhiyuan Ma 005; Guoli Jia; Che Jiang; Jianjun Li; Bowen Zhou 002 (CoRR, 2025)

Deep Unfolding with Kernel-based Quantization in MIMO Detection. - Zeyi Ren; Jingreng Lei; Yichen Jin; Ermo Hua; Qingfeng Lin; Chen Zhang; Bowen Zhou 002; Yik-Chung Wu (CoRR, 2025)

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models. - Ruilin Yao; Bo Zhang 069; Jirui Huang; Xinwei Long; Yifang Zhang; Tianyu Zou; Yufei Wu; Shichao Su; Yifan Xu; Wenxi Zeng; Zhaoyu Yang; Guoyou Li; et al. (CoRR, 2025)

NovelSeek: When Agent Becomes the Scientist - Building Closed-Loop System from Hypothesis to Verification. - Bo Zhang 069; Shiyang Feng; Xiangchao Yan; Jiakang Yuan; Zhiyin Yu; Xiaohan He; Songtao Huang; Shaowei Hou; Zheng Nie; Zhilong Wang; Jinyao Liu; Runmin Ma; et al. (CoRR, 2025)

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation. - Jiadong Pan; Zhiyuan Ma 005; Kaiyan Zhang; Ning Ding 002; Bowen Zhou 002 (CoRR, 2025)

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models. - Ganqu Cui; Yuchen Zhang; Jiacheng Chen; Lifan Yuan; Zhi Wang; Yuxin Zuo; Haozhan Li; Yuchen Fan; Huayu Chen; Weize Chen; Zhiyuan Liu 001; Hao Peng 001; et al. (CoRR, 2025)

Automating Exploratory Multiomics Research via Language Models. - Shang Qu; Ning Ding 002; Linhai Xie; Yifei Li; Zaoqu Liu; Kaiyan Zhang; Yibai Xiong; Yuxin Zuo; Zhangren Chen; Ermo Hua; Xingtai Lv; Youbang Sun; et al. (CoRR, 2025)

Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field Sampling. - Zhiyuan Ma 005; Ruixun Liu; Sixian Liu; Jianjun Li; Bowen Zhou 002 (CoRR, 2025)

Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning. - Biqing Qi; Junqi Gao; Xinquan Chen; Dong Li 016; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (IEEE Trans. Circuits Syst. Video Technol., 2025)

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model. - Changze Lv; Jiang Zhou; Siyu Long; Lihao Wang; Jiangtao Feng; Dongyu Xue; Yu Pei; Hao Wang; Zherui Zhang; Yuchen Cai; Zhiqiang Gao; Ziyuan Ma; et al. (CoRR, 2025)

Re:Form - Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny. - Chuanhao Yan; Fengdi Che; Xuhan Huang; Xu Xu; Xin Li; Yizhi Li; Xingwei Qu; Jingzhe Shi; Zhuangzhuang He; Chenghua Lin; Yaodong Yang 001; Binhang Yuan; et al. (CoRR, 2025)

Guest Editorial: Introduction to the Special Section on Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond. - Peng Xu 005; Song Bai; Bowen Zhou 002; David A. Clifton; Andrea Vedaldi; Mihaela van der Schaar; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

ReviewRL: Towards Automated Scientific Review with RL. - Sihang Zeng; Kai Tian; Kaiyan Zhang; Yuru wang; Junqi Gao; Runze Liu 002; Sa Yang; Jingxuan Li; Xinwei Long; Jiaheng Ma; Biqing Qi; Bowen Zhou 002 (CoRR, 2025)

SSRL: Self-Search Reinforcement Learning. - Yuchen Fan; Kaiyan Zhang; Heng Zhou; Yuxin Zuo; Yanxu Chen; Yu Fu; Xinwei Long; Xuekai Zhu; Che Jiang; Yuchen Zhang; Li Kang; Gang Chen; et al. (CoRR, 2025)

From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery. - Jiaqi Wei; Yuejin Yang; Xiang Zhang; Yuhan Chen; Xiang Zhuang; Zhangyang Gao; Dongzhan Zhou; Guangshuai Wang; Zhiqiang Gao; Juntai Cao; Zijie Qiu; Xuming He; et al. (CoRR, 2025)

Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices. - Zhiyuan Ma 005; Yuzhu Zhang; Guoli Jia; Liangliang Zhao; Yichao Ma; Mingjie Ma; Gaofeng Liu; Kaiyan Zhang; Ning Ding 002; Jianjun Li; Bowen Zhou 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)