Knowledge-Aware Self-Attention Networks for Document Grounded Dialogue Generation. - Xiangru Tang; Po Hu (KSEM (2), 2019)

Improving Code Generation From Descriptive Text By Combining Deep Learning and Syntax Rules. - Xiangru Tang; Zhihao Wang; Jiyang Qi; Zengyang Li (SEKE, 2019)

Categorizing Offensive Language in Social Networks: A Chinese Corpus, Systems and an Explanation Tool. - Xiangru Tang; Xianjun Shen; Yujie Wang; Yujuan Yang (CNCL, 2020)

CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning. - Hongru Wang 003; Xiangru Tang; Sunny Lai; Kwong-Sak Leung; Jia Zhu 003; Gabriel Pui Cheong Fung; Kam-Fai Wong (SemEval@COLING, 2020)

CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning. - Hongru Wang 003; Xiangru Tang; Sunny Lai; Kwong-Sak Leung (CoRR, 2020)

DART: Open-Domain Structured Data Record to Text Generation. - Dragomir R. Radev; Rui Zhang 037; Amrit Rau; Abhinand Sivaprasad; Chiachun Hsieh; Nazneen Fatema Rajani; Xiangru Tang; Aadit Vyas; Neha Verma 001; Pranav Krishna; Yangxiaokang Liu; Nadia Irwanto; et al. (CoRR, 2020)

Multi-Granularity Modularized Network for Abstract Visual Reasoning. - Xiangru Tang; Haoyuan Wang; Xiang Pan; Jiyang Qi (CoRR, 2020)

FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching. - Xiangru Tang; Alan Aw (CoRR, 2020)

DART: Open-Domain Structured Data Record to Text Generation. - Linyong Nan; Dragomir R. Radev; Rui Zhang 037; Amrit Rau; Abhinand Sivaprasad; Chiachun Hsieh; Xiangru Tang; Aadit Vyas; Neha Verma 001; Pranav Krishna; Yangxiaokang Liu; Nadia Irwanto; et al. (NAACL-HLT, 2021)

FeTaQA: Free-form Table Question Answering. - Linyong Nan; Chiachun Hsieh; Ziming Mao; Xi Victoria Lin; Neha Verma 001; Rui Zhang 037; Wojciech Kryscinski; Nick Schoelkopf; Riley Kong; Xiangru Tang; Murori Mutuma; Ben Rosand; et al. (CoRR, 2021)

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. - Xiangru Tang; Alexander R. Fabbri; Ziming Mao; Griffin Adams; Borui Wang; Haoran Li 007; Yashar Mehdad; Dragomir R. Radev (CoRR, 2021)

Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types. - Shentong Mo; Xi Fu; Chenyang Hong; Yizhen Chen; Yuxuan Zheng; Xiangru Tang; Zhiqiang Shen; Eric P. Xing; Yanyan Lan (CoRR, 2021)

Improving RNA Secondary Structure Design using Deep Reinforcement Learning. - Alexander Whatley; Zhekun Luo; Xiangru Tang (CoRR, 2021)

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. - Swapnil Hingmire; Irene Li; Rena Kawamura; Benjamin Chen; Alexander R. Fabbri; Xiangru Tang; Yixin Liu 003; Thomas George; Tammy Liao; Wai Pan Wong; Vanessa Yan; Richard Zhou; et al. (CoRR, 2021)

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. - Stephen H. Bach; Victor Sanh; Zheng Xin Yong; Albert Webson; Colin Raffel; Nihal V. Nayak; Abheesht Sharma; Taewoon Kim 002; M. Saiful Bari; Thibault Févry; Zaid Alyafeai; Manan Dey; et al. (ACL (demo), 2022)

Surfer100: Generating Surveys From Web Resources, Wikipedia-style. - Irene Li; Alexander R. Fabbri; Rina Kawamura; Yixin Liu 003; Xiangru Tang; Jaesung Tae; Chang Shen; Sally Ma; Tomoe Mizutani; Dragomir Radev (LREC, 2022)

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. - Xiangru Tang; Alexander R. Fabbri; Haoran Li 007; Ziming Mao; Griffin Adams; Borui Wang; Asli Celikyilmaz; Yashar Mehdad; Dragomir R. Radev (NAACL-HLT, 2022)

CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. - Xiangru Tang; Arjun Nair; Borui Wang; Bingyao Wang; Jai Desai; Aaron Wade; Haoran Li 007; Asli Celikyilmaz; Yashar Mehdad; Dragomir R. Radev (NAACL-HLT, 2022)

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. - Stephen H. Bach; Victor Sanh; Zheng Xin Yong; Albert Webson; Colin Raffel; Nihal V. Nayak; Abheesht Sharma; Taewoon Kim 002; M. Saiful Bari; Thibault Févry; Zaid Alyafeai; Manan Dey; et al. (CoRR, 2022)

EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts. - Irene Li; Keen You; Xiangru Tang; Yujie Qiao; Lucas Huang; Chiachun Hsieh; Benjamin Rosand; Dragomir R. Radev (CoRR, 2022)

FeTaQA: Free-form Table Question Answering. - Linyong Nan; Chiachun Hsieh; Ziming Mao; Xi Victoria Lin; Neha Verma 001; Rui Zhang 037; Wojciech Kryscinski; Hailey Schoelkopf; Riley Kong; Xiangru Tang; Mutethia Mutuma; Ben Rosand; et al. (Trans. Assoc. Comput. Linguistics, 2022)

Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning. - Xiangru Tang; Arman Cohan; Mark Gerstein (ClinicalNLP@ACL, 2023)

GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning. - Xiangru Tang; Andrew Tran; Jeffrey Tan; Mark Gerstein (ClinicalNLP@ACL, 2023)

Crosslingual Generalization through Multitask Finetuning. - Niklas Muennighoff; Thomas Wang; Lintang Sutawika; Adam Roberts; Stella Biderman; Teven Le Scao; M. Saiful Bari; Sheng Shen 001; Zheng Xin Yong; Hailey Schoelkopf; Xiangru Tang; Dragomir Radev; et al. (ACL (1), 2023)

RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. - Yilun Zhao 001; Chen Zhao; Linyong Nan; Zhenting Qi; Wenlin Zhang; Xiangru Tang; Boyu Mi; Dragomir Radev (ACL (1), 2023)

QTSumm: Query-Focused Summarization over Tabular Data. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Boyu Mi; Yixin Liu 003; Weijin Zou; Simeng Han; Ruizhe Chen; Xiangru Tang; Yumo Xu; Dragomir Radev; Arman Cohan (EMNLP, 2023)

Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios. - Yilun Zhao 001; Haowei Zhang 002; Shengyun Si; Linyong Nan; Xiangru Tang; Arman Cohan (EMNLP (Industry Track), 2023)

RWKV: Reinventing RNNs for the Transformer Era. - Bo Peng; Eric Alcaide; Quentin Anthony; Alon Albalak; Samuel Arcadinho; Stella Biderman; Huanqi Cao; Xin Cheng; Michael Chung; Leon Derczynski; Xingjian Du; Matteo Grella; et al. (EMNLP (Findings), 2023)

RWKV: Reinventing RNNs for the Transformer Era. - Bo Peng; Eric Alcaide; Quentin Anthony; Alon Albalak; Samuel Arcadinho; Huanqi Cao; Xin Cheng; Michael Chung; Matteo Grella; Kranthi Kiran G. V.; Xuzheng He; Haowen Hou; et al. (CoRR, 2023)

QTSumm: A New Benchmark for Query-Focused Table Summarization. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Boyu Mi; Yixin Liu 003; Weijin Zou; Simeng Han; Xiangru Tang; Yumo Xu; Arman Cohan; Dragomir Radev (CoRR, 2023)

Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers. - Yilun Zhao 001; Haowei Zhang 002; Shengyun Si; Linyong Nan; Xiangru Tang; Arman Cohan (CoRR, 2023)

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. - Yujia Qin; Shihao Liang; Yining Ye; Kunlun Zhu; Lan Yan; Yaxi Lu; Yankai Lin; Xin Cong; Xiangru Tang; Bill Qian; Sihan Zhao; Runchu Tian; et al. (CoRR, 2023)

BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge. - Xiangru Tang; Bill Qian; Rick Gao; Jiakang Chen; Xinyun Chen; Mark Gerstein (CoRR, 2023)

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? - Xiangru Tang; Yiming Zong; Jason Phang; Yilun Zhao 001; Wangchunshu Zhou; Arman Cohan; Mark Gerstein (CoRR, 2023)

Meta-CoT: Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models. - Anni Zou; Zhuosheng Zhang 001; Hai Zhao 001; Xiangru Tang (CoRR, 2023)

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. - Cunxiang Wang; Xiaoze Liu; Yuanhao Yue; Xiangru Tang; Tianhang Zhang; Cheng Jiayang; Yunzhi Yao; Wenyang Gao; Xuming Hu; Zehan Qi; Yidong Wang; Linyi Yang; et al. (CoRR, 2023)

DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data. - Yilun Zhao 001; Yitao Long; Hongjun Liu 001; Linyong Nan; Lyuhao Chen; Ryo Kamoi; Yixin Liu 003; Xiangru Tang; Rui Zhang 037; Arman Cohan (CoRR, 2023)

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. - Yuliang Liu; Xiangru Tang; Zefan Cai; Junjie Lu; Yichi Zhang; Yanjun Shao; Zexuan Deng; Helan Hu; Zengxian Yang; Kaikai An; Ruijun Huang; Shuzheng Si; et al. (CoRR, 2023)

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. - Xiangru Tang; Anni Zou; Zhuosheng Zhang 001; Yilun Zhao 001; Xingyao Zhang; Arman Cohan; Mark Gerstein (CoRR, 2023)

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents. - Yilun Zhao 001; Yitao Long; Hongjun Liu 001; Ryo Kamoi; Linyong Nan; Lyuhao Chen; Yixin Liu 003; Xiangru Tang; Rui Zhang 037; Arman Cohan (ACL (1), 2024)

Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation. - Chunyuan Deng; Yilun Zhao 001; Yuzhao Heng; Yitong Li; Jiannan Cao; Xiangru Tang; Arman Cohan (ACL (Findings), 2024)

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. - Xiangru Tang; Anni Zou; Zhuosheng Zhang 001; Ziming Li; Yilun Zhao 001; Xingyao Zhang; Arman Cohan; Mark Gerstein (ACL (Findings), 2024)

FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents. - Yilun Zhao 001; Yitao Long; Tintin Jiang; Chengye Wang; Weiyuan Chen; Hongjun Liu 001; Xiangru Tang; Yiming Zhang; Chen Zhao; Arman Cohan (EMNLP, 2024)

PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes. - He Cao; Yanjun Shao; Zhiyuan Liu 001; Zijing Liu; Xiangru Tang; Yuan Yao; Yu Li 003 (EMNLP (Findings), 2024)

OctoPack: Instruction Tuning Code Large Language Models. - Niklas Muennighoff; Qian Liu 012; Armel Randy Zebaze; Qinkai Zheng; Binyuan Hui; Terry Yue Zhuo; Swayam Singh; Xiangru Tang; Leandro von Werra; Shayne Longpre (ICLR, 2024)

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. - Yujia Qin; Shihao Liang; Yining Ye; Kunlun Zhu; Lan Yan; Yaxi Lu; Yankai Lin; Xin Cong; Xiangru Tang; Bill Qian; Sihan Zhao; Lauren Hong; et al. (ICLR, 2024)

Investigating Data Contamination in Modern Benchmarks for Large Language Models. - Chunyuan Deng; Yilun Zhao 001; Xiangru Tang; Mark Gerstein; Arman Cohan (NAACL-HLT, 2024)

Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? - Xiangru Tang; Yiming Zong; Jason Phang; Yilun Zhao 001; Wangchunshu Zhou; Arman Cohan; Mark Gerstein (NAACL (Short Papers), 2024)

A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation. - Xiangru Tang; Howard Dai; Elizabeth Knight; Fang Wu; Yunyang Li; Tianxiao Li; Mark Gerstein (Briefings Bioinform., 2024)

BioCoder: a benchmark for bioinformatics code generation with large language models. - Xiangru Tang; Bill Qian; Rick Gao; Jiakang Chen; Xinyun Chen; Mark B. Gerstein (Bioinform., 2024)

MolLM: a unified language model for integrating biomedical text with 2D and 3D molecular representations. - Xiangru Tang; Andrew Tran; Jeffrey Tan; Mark B. Gerstein (Bioinform., 2024)

Weaver: Foundation Models for Creative Writing. - Tiannan Wang; Jiamin Chen; Qingrui Jia; Shuai Wang; Ruoyu Fang; Huilin Wang; Zhaowei Gao; Chunzhao Xie; Chuou Xu; Jihong Dai; Yibin Liu; Jialong Wu 007; et al. (CoRR, 2024)

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. - Xiangru Tang; Qiao Jin 001; Kunlun Zhu; Tongxin Yuan; Yichi Zhang; Wangchunshu Zhou; Meng Qu; Yilun Zhao 001; Jian Tang; Zhuosheng Zhang 001; Arman Cohan; Zhiyong Lu; et al. (CoRR, 2024)

A Survey of Generative AI for De Novo Drug Design: New Frontiers in Molecule and Protein Generation. - Xiangru Tang; Howard Dai; Elizabeth Knight; Fang Wu; Yunyang Li; Tianxiao Li; Mark Gerstein (CoRR, 2024)

Data Interpreter: An LLM Agent For Data Science. - Sirui Hong; Yizhang Lin; Bang Liu; Bangbang Liu; Binhao Wu; Danyang Li; Jiaqi Chen; Jiayi Zhang; Jinlin Wang; Li Zhang; Lingyao Zhang; Min Yang; et al. (CoRR, 2024)

StarCoder 2 and The Stack v2: The Next Generation. - Anton Lozhkov; Raymond Li; Loubna Ben Allal; Federico Cassano; Joel Lamy-Poirier; Nouamane Tazi; Ao Tang; Dmytro Pykhtar; Jiawei Liu 004; Yuxiang Wei 003; Tianyang Liu 003; Max Tian; et al. (CoRR, 2024)

MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise. - Chunyuan Deng; Xiangru Tang; Yilun Zhao 001; Hanming Wang; Haoran Wang; Wangchunshu Zhou; Arman Cohan; Mark Gerstein (CoRR, 2024)

Lessons from the Trenches on Reproducible Evaluation of Language Models. - Stella Biderman; Hailey Schoelkopf; Lintang Sutawika; Leo Gao; Jonathan Tow; Baber Abbasi; Alham Fikri Aji; Pawan Sasanka Ammanamanchi; Sidney Black; Jordan Clive; Anthony DiPofi; Julen Etxaniz; et al. (CoRR, 2024)

PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes. - He Cao; Yanjun Shao; Zhiyuan Liu 001; Zijing Liu; Xiangru Tang; Yuan Yao 011; Yu Li 003 (CoRR, 2024)

Step-Back Profiling: Distilling User History for Personalized Scientific Writing. - Xiangru Tang; Xingyao Zhang; Yanjun Shao; Jie Wu; Yilun Zhao 001; Arman Cohan; Ming Gong 001; Dongmei Zhang 001; Mark Gerstein (CoRR, 2024)

Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation. - Chunyuan Deng; Yilun Zhao 001; Yuzhao Heng; Yitong Li; Jiannan Cao; Xiangru Tang; Arman Cohan (CoRR, 2024)

OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. - Xingyao Wang 002; Boxuan Li; Yufan Song; Frank F. Xu; Xiangru Tang; Mingchen Zhuge; Jiayi Pan; Yueqi Song; Bowen Li 002; Jaskirat Singh; Hoang H. Tran; Fuqiang Li; et al. (CoRR, 2024)

FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents. - Yilun Zhao 001; Yitao Long; Yuru Jiang; Chengye Wang; Weiyuan Chen; Hongjun Liu 001; Yiming Zhang; Xiangru Tang; Chen Zhao; Arman Cohan (CoRR, 2024)

ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain. - Haochen Zhao; Xiangru Tang; Ziran Yang; Xiao Han; Xuanzhi Feng; Yueqing Fan; Senhao Cheng; Di Jin; Yilun Zhao 001; Arman Cohan; Mark Gerstein (CoRR, 2024)

Data preparation for Deep Learning based Code Smell Detection: A systematic literature review. - Fengji Zhang; Zexian Zhang; Jacky Wai Keung; Xiangru Tang; Zhen Yang 022; Xiao Yu 008; Wenhua Hu (J. Syst. Softw., 2024)

OpenHands: An Open Platform for AI Software Developers as Generalist Agents. - Xingyao Wang 002; Boxuan Li; Yufan Song; Frank F. Xu; Xiangru Tang; Mingchen Zhuge; Jiayi Pan; Yueqi Song; Bowen Li 002; Jaskirat Singh; Hoang H. Tran; Fuqiang Li; et al. (ICLR, 2025)

ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning. - Xiangru Tang; Tianyu Hu; Muyang Ye; Yanjun Shao; Xunjian Yin; Siru Ouyang; Wangchunshu Zhou; Pan Lu; Zhuosheng Zhang 001; Yilun Zhao 001; Arman Cohan; Mark Gerstein (ICLR, 2025)

ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning. - Xiangru Tang; Tianyu Hu; Muyang Ye; Yanjun Shao; Xunjian Yin; Siru Ouyang; Wangchunshu Zhou; Pan Lu; Zhuosheng Zhang 001; Yilun Zhao 001; Arman Cohan; Mark Gerstein (CoRR, 2025)

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding. - Yilun Zhao 001; Lujing Xie; Haowei Zhang 002; Guo Gan; Yitao Long; Zhiyuan Hu; Tongyan Hu; Weiyuan Chen; Chuhan Li; Junyang Song; Zhijian Xu; Chengye Wang; et al. (CoRR, 2025)

MMSciBench: Benchmarking Language Models on Multimodal Scientific Problems. - Xinwu Ye; Chengfan Li; Siming Chen 001; Xiangru Tang; Wei Wei (CoRR, 2025)

MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents. - Kunlun Zhu; Hongyi Du; Zhaochen Hong; Xiaocheng Yang; Shuyi Guo; Zhe Wang; Zhenhailong Wang; Cheng Qian 008; Xiangru Tang; Heng Ji 001; Jiaxuan You (CoRR, 2025)

MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning. - Xiangru Tang; Daniel Shao; Jiwoong Sohn; Jiapeng Chen; Jiayi Zhang; Jinyu Xiang; Fang Wu; Yilun Zhao 001; Chenglin Wu; Wenqi Shi; Arman Cohan; Mark Gerstein (CoRR, 2025)

LocAgent: Graph-Guided LLM Agents for Code Localization. - Zhaoling Chen; Xiangru Tang; Gangda Deng; Fang Wu; Jialong Wu 010; Zhiwei Jiang; Viktor K. Prasanna; Arman Cohan; Xingyao Wang 002 (CoRR, 2025)

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. - Bang Liu; Xinfeng Li; Jiayi Zhang; Jinlin Wang; Tanjin He; Sirui Hong; Hongzhang Liu; Shaokun Zhang; Kaitao Song; Kunlun Zhu; Yuheng Cheng; Suyuchen Wang; et al. (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)

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows. - Qiushi Sun; Zhoumianze Liu; Chang Ma; Zichen Ding 002; Fangzhi Xu; Zhangyue Yin; Haiteng Zhao; Zhenyu Wu; Kanzhi Cheng; Zhaoyang Liu 001; Jianing Wang 002; Qintong Li; et al. (CoRR, 2025)

Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations. - Hao Li 073; He Cao; Bin Feng 001; Yanjun Shao; Xiangru Tang; Zhiyuan Yan; Li Yuan 007; Yonghong Tian 001; Yu Li 003 (CoRR, 2025)

MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning. - Peng Xia; Jinglu Wang; Yibo Peng; Kaide Zeng; Xian Wu; Xiangru Tang; Hongtu Zhu; Yun Li; Shujie Liu 001; Yan Lu; Huaxiu Yao (CoRR, 2025)

MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale. - Ran Xu 002; Yuchen Zhuang; Yishan Zhong; Yue Yu 001; Xiangru Tang; Hang Wu; May D. Wang; Peifeng Ruan; Donghan Yang; Tao Wang 006; Guanghua Xiao; Carl Yang 001; et al. (CoRR, 2025)

Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards. - Jaehoon Yun; Jiwoong Sohn; Jungwoo Park; Hyunjae Kim; Xiangru Tang; Yanjun Shao; Yonghoe Koo; Minhyeok Ko; Qingyu Chen 001; Mark Gerstein; Michael Moor; Jaewoo Kang (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)

SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks. - Yilun Zhao 001; Kaiyan Zhang; Tiansheng Hu; Sihong Wu; Ronan Le Bras 001; Taira Anderson; Jonathan Bragg; Joseph Chee Chang; Jesse Dodge; Matt Latzke; Yixin Liu 003; Charles McGrady; 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)

CellForge: Agentic Design of Virtual Cell Models. - Xiangru Tang; Zhuoyun Yu; Jiapeng Chen; Yan Cui; Daniel Shao; Weixu Wang; Fang Wu; Yuchen Zhuang; Wenqi Shi; Zhi Huang; Arman Cohan; Xihong Lin; et al. (CoRR, 2025)

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL. - Weizhen Li; Jianbo Lin; Zhuosong Jiang; Jingyi Cao; Xinpeng Liu; Jiayu Zhang; Zhenqiang Huang; Qianben Chen; Weichen Sun; Qiexiang Wang; Hongxuan Lu; Tianrui Qin; et al. (CoRR, 2025)

You Don't Know Until You Click:Automated GUI Testing for Production-Ready Software Evaluation. - Yutong Bian; Xianhao Lin; Yupeng Xie; Tianyang Liu; Mingchen Zhuge; Siyuan Lu; Haoming Tang; Jinlin Wang; Jiayi Zhang; Jiaqi Chen; Xiangru Tang; Yongxin Ni; et al. (CoRR, 2025)

Igniting Language Intelligence: The Hitchhiker's Guide from Chain-of-Thought Reasoning to Language Agents. - Zhuosheng Zhang 001; Yao Yao; Aston Zhang; Xiangru Tang; Xinbei Ma; Zhiwei He 002; Yiming Wang 011; Mark Gerstein; Rui Wang 015; Gongshen Liu; Hai Zhao 001 (ACM Comput. Surv., 2025)