Who cites Sihang Zeng
- ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsarXiv:2404.07738Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 111 citations
- Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent SystemAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyang Su, Renqi Chen, Shixiang Tang, et al.2025 · 40 citations
- Can Large Language Models Unlock Novel Scientific Research Ideas?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, et al.2025 · 27 citations
- Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
- Sparks of Science: Hypothesis Generation Using Structured Paper DataarXiv:2504.12976Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.2025 · 16 citations
- Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language ModelsarXiv:2411.02382Guangzhi Xiong, Eric Xie, Amir Hassan Shariatmadari, et al.2024 · 16 citations
- Literature Meets Data: A Synergistic Approach to Hypothesis GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, et al.2025 · 12 citations
- EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific DiscoveryarXiv:2603.08127Yougang Lyu, Xi Zhang, Xinhao Yi, et al.2026 · 10 citations
- ReviewRL: Towards Automated Scientific Review with RLConference on Empirical Methods in Natural Language Processing (EMNLP)Sihang Zeng, Kai Tian, Kaiyan Zhang, et al.2025 · 9 citations
- Reviewing Scientific Papers for Critical Problems With Reasoning LLMs: Baseline Approaches and Automatic EvaluationarXiv:2505.23824Tianmai M. Zhang, Neil F. Abernethy2025 · 7 citations
- Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining TreesarXiv:2503.19309Gollam Rabby, Diyana Muhammed, Prasenjit Mitra, et al.2025 · 6 citations
- HypER: Literature-grounded Hypothesis Generation and Distillation with ProvenanceConference on Empirical Methods in Natural Language Processing (EMNLP)Rosni Vasu, Chandrayee Basu, Bhavana Dalvi Mishra, et al.2025 · 5 citations
- Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the FutureAnnual Meeting of the Association for Computational Linguistics (ACL)Sihong Wu, Owen Jiang, Yilun Zhao, et al.2026 · 1 citation
- Experiments or Outcomes? Probing Scientific Feasibility in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Seyedali Mohammadi, Manas Gaur, Francis Ferraro2026
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