Research on a novel inspection robot mechanism for power transmission lines. - Xiang Yue; Hongguang Wang; Yong Jiang; Ning Xi 001; Jikui Xu (ROBIO, 2015)

基于语义的文档特征提取研究方法 (Semantic-based Feature Extraction Method for Document). - Fang Jiang; Guohe Li; Xiang Yue (计算机科学, 2016)

Predicting small RNAs in bacteria via sequence learning ensemble method. - Wen Zhang 008; Jingwen Shi; Guifeng Tang; Wenjian Wu; Xiang Yue; Dingfang Li (BIBM, 2017)

Predicting drug-disease associations based on the known association bipartite network. - Wen Zhang 008; Xiang Yue; Yanlin Chen 002; Weiran Lin; Bolin Li; Feng Liu; Xiaohong Li 003 (BIBM, 2017)

A unified frame of predicting side effects of drugs by using linear neighborhood similarity. - Wen Zhang 008; Xiang Yue; Feng Liu; Yanlin Chen 002; Shikui Tu; Xining Zhang (BMC Syst. Biol., 2017)

Prediction of Drug-Disease Associations and Their Effects by Signed Network-Based Nonnegative Matrix Factorization. - Wen Zhang 008; Feng Huang 004; Xiang Yue; Xiaoting Lu; Weitai Yang; Zhishuai Li; Feng Liu (BIBM, 2018)

Sequence-based bacterial small RNAs prediction using ensemble learning strategies. - Guifeng Tang; Jingwen Shi; Wenjian Wu; Xiang Yue; Wen Zhang 008 (BMC Bioinform., 2018)

Predicting drug-disease associations by using similarity constrained matrix factorization. - Wen Zhang 008; Xiang Yue; Weiran Lin; Wenjian Wu; Ruoqi Liu; Feng Huang 004; Feng Liu (BMC Bioinform., 2018)

Manifold regularized matrix factorization for drug-drug interaction prediction. - Wen Zhang 008; Yanlin Chen 002; Dingfang Li; Xiang Yue (J. Biomed. Informatics, 2018)

SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions. - Wen Zhang 008; Xiang Yue; Guifeng Tang; Wenjian Wu; Feng Huang 004; Xining Zhang (PLoS Comput. Biol., 2018)

LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning. - Shuang Zhou 009; Xiang Yue; Xinran Xu; Shichao Liu 002; Wen Zhang 008; Yanqing Niu (BIBM, 2019)

SurfCon: Synonym Discovery on Privacy-Aware Clinical Data. - Zhen Wang 041; Xiang Yue; Soheil Moosavinasab; Yungui Huang; Simon M. Lin; Huan Sun 001 (KDD, 2019)

Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. - Guangsheng Wu; Juan Liu 007; Xiang Yue (BMC Bioinform., 2019)

PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation. - Xiang Yue; Shuang Zhou 012 (ClinicalNLP@EMNLP, 2020)

Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset. - Xiang Yue; Bernal Jimenez Gutierrez; Huan Sun 001 (ACL, 2020)

Clinical Phrase Mining with Language Models. - Kaushik Mani; Xiang Yue; Bernal Jimenez Gutierrez; Yungui Huang; Simon M. Lin; Huan Sun 001 (BIBM, 2020)

Towards Making the Most of Context in Neural Machine Translation. - Zaixiang Zheng; Xiang Yue; Shujian Huang; Jiajun Chen 001; Alexandra Birch (IJCAI, 2020)

Graph embedding on biomedical networks: methods, applications and evaluations. - Xiang Yue; Zhen Wang 041; Jingong Huang; Srinivasan Parthasarathy 001; Soheil Moosavinasab; Yungui Huang; Simon M. Lin; Wen Zhang 008; Ping Zhang 016; Huan Sun 001 (Bioinform., 2020)

Toward Making the Most of Context in Neural Machine Translation. - Zaixiang Zheng; Xiang Yue; Shujian Huang; Jiajun Chen 001; Alexandra Birch (CoRR, 2020)

Practical Annotation Strategies for Question Answering Datasets. - Bernhard Kratzwald; Xiang Yue; Huan Sun 001; Stefan Feuerriegel (CoRR, 2020)

COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval. - Xinliang Frederick Zhang; Heming Sun; Xiang Yue; Emmett Jesrani; Simon M. Lin; Huan Sun 001 (CoRR, 2020)

Differential Privacy for Text Analytics via Natural Text Sanitization. - Xiang Yue; Minxin Du; Tianhao Wang 001; Yaliang Li; Huan Sun 001; Sherman S. M. Chow (ACL/IJCNLP (Findings), 2021)

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering. - Xiang Yue; Xinliang Frederick Zhang; Ziyu Yao 002; Simon M. Lin; Huan Sun 001 (BIBM, 2021)

COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval. - Xinliang Frederick Zhang; Heming Sun; Xiang Yue; Simon M. Lin; Huan Sun 001 (EMNLP (1), 2021)

Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations. - Feng Huang 004; Xiang Yue; Zhankun Xiong; Zhouxin Yu; Shichao Liu 002; Wen Zhang 008 (Briefings Bioinform., 2021)

C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. - Xiang Yue; Xiaoman Pan; Wenlin Yao; Dian Yu 001; Dong Yu 001; Jianshu Chen (ACL (2), 2022)

Synthetic Question Value Estimation for Domain Adaptation of Question Answering. - Xiang Yue; Ziyu Yao 002; Huan Sun 001 (ACL (1), 2022)

Automatic Obstacle-Crossing Planning for a Transmission Line Inspection Robot Based on Multisensor Fusion. - Xiang Yue; Yan Feng; Binzhang Jiang; Lin Wang 078; Junming Hou (IEEE Access, 2022)

Improving Stability of Line Inspection Robot During Crossing Jumper Lines With a Centroid Adjustment Adjusting Mechanism. - Xiang Yue; Hongguang Wang; Yan Feng; Yong Tian; Wei Wang (IEEE Access, 2022)

Bootstrapping a User-Centered Task-Oriented Dialogue System. - Shijie Chen; Ziru Chen; Xiang Deng 001; Ashley Lewis; Lingbo Mo; Samuel Stevens 001; Zhen Wang 041; Xiang Yue; Tianshu Zhang 001; Yu Su 001; Huan Sun 001 (CoRR, 2022)

Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. - Xiang Yue; Huseyin A. Inan; Xuechen Li; Girish Kumar; Julia McAnallen; Huan Sun 001; David Levitan; Robert Sim (CoRR, 2022)

Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. - Xiang Yue; Huseyin A. Inan; Xuechen Li; Girish Kumar; Julia McAnallen; Hoda Shajari; Huan Sun 001; David Levitan; Robert Sim (ACL (1), 2023)

DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. - Minxin Du; Xiang Yue; Sherman S. M. Chow; Tianhao Wang 001; Chenyu Huang; Huan Sun 001 (CCS, 2023)

Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate. - Boshi Wang; Xiang Yue; Huan Sun 001 (EMNLP (Findings), 2023)

Automatic Evaluation of Attribution by Large Language Models. - Xiang Yue; Boshi Wang; Ziru Chen; Kai Zhang 033; Yu Su 001; Huan Sun 001 (EMNLP (Findings), 2023)

A Deeping-Learning-Based Foreign Object Inspection System Design for Overhead Power Transmission Lines. - Xiang Yue; Yan Feng; Kai Qi; Yang Zhang; Yifeng Song (ICARM, 2023)

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System. - Lingbo Mo; Shijie Chen; Ziru Chen; Xiang Deng 001; Ashley Lewis; Sunit Singh; Samuel Stevens 001; Chang-You Tai; Zhen Wang 041; Xiang Yue; Tianshu Zhang 001; Yu Su 001; et al. (SIGDIAL, 2023)

Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy. - Minxin Du; Xiang Yue; Sherman S. M. Chow; Huan Sun 001 (WWW, 2023)

Can ChatGPT Defend the Truth? Automatic Dialectical Evaluation Elicits LLMs' Deficiencies in Reasoning. - Boshi Wang; Xiang Yue; Huan Sun 001 (CoRR, 2023)

Vibration suppression of collaborative robot based on modified trajectory planning. - Yong Tian; Xiang Yue; Lin Wang; Yan Feng (Ind. Robot, 2023)

VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation. - Max Ku; Dongfu Jiang; Cong Wei 001; Xiang Yue; Wenhu Chen (ACL (1), 2024)

AttributionBench: How Hard is Automatic Attribution Evaluation? - Yifei Li 005; Xiang Yue; Zeyi Liao; Huan Sun 001 (ACL (Findings), 2024)

Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents. - Yifan Song 002; Da Yin; Xiang Yue; Jie Huang; Sujian Li; Bill Yuchen Lin (ACL (1), 2024)

Machine Unlearning of Pre-trained Large Language Models. - Jin Yao; Eli Chien; Minxin Du; Xinyao Niu; Tianhao Wang 001; Zezhou Cheng; Xiang Yue (ACL (1), 2024)

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. - Tianyu Zheng; Ge Zhang 009; Tianhao Shen; Xueling Liu; Bill Yuchen Lin; Jie Fu 001; Wenhu Chen; Xiang Yue (ACL (Findings), 2024)

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. - Xiang Yue; Yuansheng Ni; Tianyu Zheng; Kai Zhang 033; Ruoqi Liu; Ge Zhang 009; Samuel Stevens 001; Dongfu Jiang; Weiming Ren; Yuxuan Sun 002; Cong Wei 001; Botao Yu; et al. (CVPR, 2024)

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. - Xiang Yue; Xingwei Qu; Ge Zhang 009; Yao Fu; Wenhao Huang 001; Huan Sun 001; Yu Su 001; Wenhu Chen (ICLR, 2024)

Data Engineering for Scaling Language Models to 128K Context. - Yao Fu; Rameswar Panda; Xinyao Niu; Xiang Yue; Hannaneh Hajishirzi; Yoon Kim; Hao Peng 018 (ICML, 2024)

TableLlama: Towards Open Large Generalist Models for Tables. - Tianshu Zhang 001; Xiang Yue; Yifei Li 005; Huan Sun 001 (NAACL-HLT, 2024)

MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures. - Jinjie Ni; Fuzhao Xue; Xiang Yue; Yuntian Deng; Mahir Shah; Kabir Jain; Graham Neubig; Yang You 001 (NeurIPS, 2024)

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. - Yubo Wang; Xueguang Ma; Ge Zhang 009; Yuansheng Ni; Abhranil Chandra; Shiguang Guo; Weiming Ren; Aaran Arulraj; Xuan He; Ziyan Jiang; Tianle Li; Max Ku; et al. (NeurIPS, 2024)

Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization. - Boshi Wang; Xiang Yue; Yu Su 001; Huan Sun 001 (NeurIPS, 2024)

MAmmoTH2: Scaling Instructions from the Web. - Xiang Yue; Tianyu Zheng; Ge Zhang 009; Wenhu Chen (NeurIPS, 2024)

StructLM: Towards Building Generalist Models for Structured Knowledge Grounding. - Alex Zhuang; Ge Zhang 009; Tianyu Zheng; Xinrun Du; Junjie Wang; Weiming Ren; Stephen W. Huang; Jie Fu 001; Xiang Yue; Wenhu Chen (CoRR, 2024)

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models. - Jiawei Guo; Ziming Li; Xueling Liu; Kaijing Ma; Tianyu Zheng; Zhouliang Yu; Ding Pan; Yizhi Li; Ruibo Liu; Yue Wang; Shuyue Guo; Xingwei Qu; et al. (CoRR, 2024)

VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding? - Junpeng Liu 001; Yifan Song 002; Bill Yuchen Lin; Wai Lam; Graham Neubig; Yuanzhi Li; Xiang Yue (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)

MAmmoTH2: Scaling Instructions from the Web. - Xiang Yue; Tuney Zheng; Ge Zhang 009; Wenhu Chen (CoRR, 2024)

Long Context Alignment with Short Instructions and Synthesized Positions. - Wenhao Wu; Yizhong Wang; Yao Fu; Xiang Yue; Dawei Zhu; Sujian Li (CoRR, 2024)

Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization. - Boshi Wang; Xiang Yue; Yu Su 001; Huan Sun 001 (CoRR, 2024)

LIME: Less Is More for MLLM Evaluation. - King Zhu; Qianbo Zang; Shian Jia; Siwei Wu; Feiteng Fang; Yizhi Li; Shawn Gavin; Tuney Zheng; Jiawei Guo; Bo Li; Haoning Wu; Xingwei Qu; et al. (CoRR, 2024)

SimulBench: Evaluating Language Models with Creative Simulation Tasks. - Qi Jia; Xiang Yue; Tianyu Zheng; Jie Huang; Bill Yuchen Lin (CoRR, 2024)

Visual Perception in Text Strings. - Qi Jia; Xiang Yue; Shanshan Huang 002; Ziheng Qin; Yizhu Liu; Bill Yuchen Lin; Yang You 001 (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)

MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures. - Jinjie Ni; Yifan Song; Deepanway Ghosal; Bo Li; David Junhao Zhang; Xiang Yue; Fuzhao Xue; Zian Zheng 001; Kaichen Zhang; Mahir Shah; Kabir Jain; Yang You 001; et al. (CoRR, 2024)

Teach Multimodal LLMs to Comprehend Electrocardiographic Images. - Ruoqi Liu; Yuelin Bai; Xiang Yue; Ping Zhang (CoRR, 2024)

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale. - Jarvis Guo; Tuney Zheng; Yuelin Bai; Bo Li; Yubo Wang; King Zhu; Yizhi Li; Graham Neubig; Wenhu Chen; Xiang Yue (CoRR, 2024)

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. - Rongzhe Wei; Mufei Li; Mohsen Ghassemi; Eleonora Kreacic; Yifan Li; Xiang Yue; Bo Li; Vamsi K. Potluru; Pan Li 005; Eli Chien (CoRR, 2024)

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale. - Jiawei Guo; Tianyu Zheng; Yizhi Li; Yuelin Bai; Bo Li; Yubo Wang; King Zhu; Graham Neubig; Wenhu Chen; Xiang Yue (ACL (1), 2025)

Evaluating Language Models as Synthetic Data Generators. - Seungone Kim; Juyoung Suk; Xiang Yue; Vijay Viswanathan 002; Seongyun Lee; Yizhong Wang; Kiril Gashteovski; Carolin Lawrence; Sean Welleck; Graham Neubig (ACL (1), 2025)

Small Models Struggle to Learn from Strong Reasoners. - Yuetai Li; Xiang Yue; Zhangchen Xu; Fengqing Jiang; Luyao Niu; Bill Yuchen Lin; Bhaskar Ramasubramanian; Radha Poovendran (ACL (Findings), 2025)

Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA. - Qianqi Yan; Xuehai He; Xiang Yue; Xin Eric Wang (ACL (Findings), 2025)

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark. - Xiang Yue; Tianyu Zheng; Yuansheng Ni; Yubo Wang; Kai Zhang 033; Shengbang Tong; Yuxuan Sun 002; Botao Yu; Ge Zhang 009; Huan Sun 001; Yu Su 001; Wenhu Chen; et al. (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)

Evaluating Vision-Language Models as Evaluators in Path Planning. - Mohamed Aghzal; Xiang Yue; Erion Plaku; Ziyu Yao 002 (CVPR, 2025)

MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks. - Jiacheng Chen; Tianhao Liang; Sherman Siu; Zhengqing Wang; Kai Wang 068; Yubo Wang; Yuansheng Ni; Ziyan Jiang; Wang Zhu 001; Bohan Lyu 001; Dongfu Jiang; Xuan He; et al. (ICLR, 2025)

Harnessing Webpage UIs for Text-Rich Visual Understanding. - Junpeng Liu 001; Tianyue Ou; Yifan Song 002; Yuxiao Qu; Wai Lam; Chenyan Xiong; Wenhu Chen; Graham Neubig; Xiang Yue (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)

MixEval-X: Any-to-any Evaluations from Real-world Data Mixture. - Jinjie Ni; Yifan Song; Deepanway Ghosal; Bo Li; David Junhao Zhang; Xiang Yue; Fuzhao Xue; Yuntian Deng; Zian Zheng 001; Kaichen Zhang; Mahir Shah; Kabir Jain; et al. (ICLR, 2025)

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages. - Xiang Yue; Yueqi Song; Akari Asai; Seungone Kim; Jean de Dieu Nyandwi; Simran Khanuja; Anjali Kantharuban; Lintang Sutawika; Sathyanarayanan Ramamoorthy; Graham Neubig (ICLR, 2025)

SimulBench: Evaluating Language Models with Creative Simulation Tasks. - Qi Jia; Xiang Yue; Tuney Zheng; Jie Huang; Bill Yuchen Lin (NAACL (Findings), 2025)

JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation. - Shota Onohara; Atsuyuki Miyai; Yuki Imajuku; Kazuki Egashira; Jeonghun Baek; Xiang Yue; Graham Neubig; Kiyoharu Aizawa (NAACL (Long Papers), 2025)

Long-context LLMs Struggle with Long In-context Learning. - Tianle Li; Ge Zhang 009; Quy Duc Do; Xiang Yue; Wenhu Chen (Trans. Mach. Learn. Res., 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)

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos. - Kairui Hu; Penghao Wu; Fanyi Pu; Wang Xiao; Yuanhan Zhang; Xiang Yue; Bo Li 080; Ziwei Liu 002 (CoRR, 2025)

Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate. - Yubo Wang; Xiang Yue; Wenhu Chen (CoRR, 2025)

Demystifying Long Chain-of-Thought Reasoning in LLMs. - Edward Y. Chang; Yuxuan Tong; Morry Niu; Graham Neubig; Xiang Yue (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)

ESPnet-SpeechLM: An Open Speech Language Model Toolkit. - Jinchuan Tian; Jiatong Shi; William Chen; Siddhant Arora; Yoshiki Masuyama; Takashi Maekaku; Yihan Wu; Junyi Peng; Shikhar Bharadwaj; Yiwen Zhao; Samuele Cornell; Yifan Peng 003; et al. (CoRR, 2025)

VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search. - Yiming Jia; Jiachen Li; Xiang Yue; Bo Li; Ping Nie; Kai Zou; Wenhu Chen (CoRR, 2025)

Overtrained Language Models Are Harder to Fine-Tune. - Jacob Mitchell Springer; Sachin Goyal; Kaiyue Wen; Tanishq Kumar; Xiang Yue; Sadhika Malladi; Graham Neubig; Aditi Raghunathan (CoRR, 2025)

Scaling Evaluation-time Compute with Reasoning Models as Process Evaluators. - Seungone Kim; Ian Wu; Jinu Lee; Xiang Yue; Seongyun Lee; Mingyeong Moon; Kiril Gashteovski; Carolin Lawrence; Julia Hockenmaier; Graham Neubig; Sean Welleck (CoRR, 2025)

ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations. - Yubo Wang; Xueguang Ma; Ping Nie; Huaye Zeng; Zhiheng Lyu; Yuxuan Zhang; Benjamin Schneider; Yi Lu; Xiang Yue; Wenhu Chen (CoRR, 2025)

VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge. - Yueqi Song; Tianyue Ou; Yibo Kong; Zecheng Li; Graham Neubig; Xiang Yue (CoRR, 2025)

Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time. - Wang Yang; Xiang Yue; Vipin Chaudhary; Xiaotian Han (CoRR, 2025)

The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think. - Seongyun Lee; Seungone Kim; Minju Seo; Yongrae Jo; Dongyoung Go; Hyeonbin Hwang; Jinho Park 005; Xiang Yue; Sean Welleck; Graham Neubig; Moontae Lee; Minjoon Seo (CoRR, 2025)

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs. - Xiaoyu Xu; Xiang Yue; Yang Liu 165; Qingqing Ye 001; Haibo Hu 001; Minxin Du (CoRR, 2025)

Temporal Sampling for Forgotten Reasoning in LLMs. - Yuetai Li; Zhangchen Xu; Fengqing Jiang; Bhaskar Ramasubramanian; Luyao Niu; Bill Yuchen Lin; Xiang Yue; Radha Poovendran (CoRR, 2025)

VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation. - Yuansheng Ni; Ping Nie; Kai Zou; Xiang Yue; Wenhu Chen (CoRR, 2025)

OpusLM: A Family of Open Unified Speech Language Models. - Jinchuan Tian; William Chen; Yifan Peng 003; Jiatong Shi; Siddhant Arora; Shikhar Bharadwaj; Takashi Maekaku; Yusuke Shinohara; Keita Goto; Xiang Yue; Huck Yang; Shinji Watanabe 001 (CoRR, 2025)

Deep learning for recognition and detection of plant diseases and pests. - Xiang Yue; Kai Qi; Xinyi Na; Yanhua Liu; Fuhao Yang; Wei Wang (Neural Comput. Appl., 2025)

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning. - Maggie Huan; Yuetai Li; Tuney Zheng; Xiaoyu Xu; Seungone Kim; Minxin Du; Radha Poovendran; Graham Neubig; Xiang Yue (CoRR, 2025)