---
title: "Who cites Michael Moor — 190 papers of our library"
description: "190 papers of the Elamur Research library cite the works of Michael Moor, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/michael-moor/cited-by/"
---
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# Who cites Michael Moor

220 citations of their works from 190 papers of our library (of the 149,439 whose bibliographies we read) · 69 with a page here, the most cited first · [← Michael Moor](https://md.research.elamur.ai/free/en/authors/michael-moor/)

1. **[Large Language Models for Information Retrieval: A Survey](https://md.research.elamur.ai/free/en/papers/zhu-2023-large-language-models-information-retrieval/) [ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)**Yutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen*2023 · 339 citations*
2. **[Towards Building Multilingual Language Model for Medicine](https://md.research.elamur.ai/free/en/papers/qiu-2024-towards-building-multilingual-language-model/) [Nature Communications](https://md.research.elamur.ai/free/en/venues/nature-communications/)**Pengcheng Qiu, Chaoyi Wu, Xiaoman Zhang, et al.*2024 · 184 citations*
3. [**Capabilities of Gemini Models in Medicine arXiv:2404.18416**Khaled Saab, Tao Tu, Wei-Hung Weng, et al.*2024 · 170 citations*](https://md.research.elamur.ai/free/en/papers/saab-2024-capabilities-gemini-models-medicine/)
4. [**The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search arXiv:2504.08066**Yutaro Yamada, Robert Tjarko Lange, Cong Lu, et al.*2025 · 129 citations*](https://md.research.elamur.ai/free/en/papers/yamada-2025-ai-scientist-v2-workshop/)
5. [**HealthBench: Evaluating Large Language Models Towards Improved Human Health arXiv:2505.08775**Rahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al.*2025 · 126 citations*](https://md.research.elamur.ai/free/en/papers/arora-2025-healthbench-evaluating-large-language-models/)
6. [**A Survey of Large Language Models in Medicine: Progress, Application, and Challenge arXiv:2311.05112**Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.*2023 · 87 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-survey-large-language-models-medicine/)
7. [**A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics arXiv:2310.05694**Kai He, Rui Mao, Qika Lin, et al.*2023 · 86 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/)
8. [**Large Language Models as Analogical Reasoners arXiv:2310.01714**Michihiro Yasunaga, Xinyun Chen, Yujia Li, et al.*2023 · 74 citations*](https://md.research.elamur.ai/free/en/papers/yasunaga-2023-large-language-models-analogical-reasoners/)
9. [**MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents arXiv:2408.14033**Ruochen Li, Teerth Patel, Qingyun Wang, et al.*2024 · 43 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-mlr-copilot-autonomous-machine/)
10. [**DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents arXiv:2506.11763**Mingxuan Du, Benfeng Xu, Chiwei Zhu, et al.*2025 · 41 citations*](https://md.research.elamur.ai/free/en/papers/du-2025-deepresearch-bench-comprehensive-benchmark-deep/)
11. **[AI-Researcher: Autonomous Scientific Innovation](https://md.research.elamur.ai/free/en/papers/tang-2025-ai-researcher-autonomous-scientific/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jiabin Tang, Lianghao Xia, Zhonghang Li, et al.*2025 · 40 citations*
12. [**AgentRxiv: Towards Collaborative Autonomous Research arXiv:2503.18102**Samuel Schmidgall, Michael Moor*2025 · 39 citations*](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agentrxiv-collaborative-autonomous-research/)
13. **[From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery](https://md.research.elamur.ai/free/en/papers/zheng-2025-automation-autonomy-survey-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianshi Zheng, Zheye Deng, Hong Ting Tsang, et al.*2025 · 39 citations*
14. [**CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation arXiv:2503.22708 · ACL 2025 (Findings)**Peter Jansen, Oyvind Tafjord, Marissa Radensky, et al.*2025 · 31 citations*](https://md.research.elamur.ai/free/en/papers/jansen-2025-codescientist-end-end-semi/)
15. [**BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments arXiv:2405.17631**Yusuf Roohani, Andrew Lee, Qian Huang, et al.*2024 · 29 citations*](https://md.research.elamur.ai/free/en/papers/roohani-2024-biodiscoveryagent-ai-agent-designing-genetic/)
16. [**Baichuan-Omni-1.5 Technical Report arXiv:2501.15368**Yadong Li, Jun Liu, Tao Zhang, et al.*2025 · 28 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-baichuan-omni-1-5/)
17. **[LLM Agents Making Agent Tools](https://md.research.elamur.ai/free/en/papers/wolflein-2025-llm-agents-making-agent-tools/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.*2025 · 27 citations*
18. **[Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation](https://md.research.elamur.ai/free/en/papers/eger-2025-transforming-science-large-language-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Steffen Eger, Yong Cao, Jennifer D'Souza, et al.*2025 · 25 citations*
19. [**Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning arXiv:2504.17192**Minju Seo, Jinheon Baek, Seongyun Lee, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/seo-2025-paper2code-automating-code-generation/)
20. [**Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents arXiv:2503.24047**Shuo Ren, Can Xie, Pu Jian, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/ren-2025-scientific-intelligence-survey-llm/)
21. [**SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers arXiv:2504.00255**Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/xiang-2025-scireplicate-bench-benchmarking-llms/)
22. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations*
23. [**InternAgent: When Agent Becomes the Scientist — Building Closed-Loop System from Hypothesis to Verification arXiv:2505.16938**InternAgent Team, Bo Zhang, Shiyang Feng, et al.*2025 · 21 citations*](https://md.research.elamur.ai/free/en/papers/team-2025-internagent-agent-becomes-scientist/)
24. **[MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research](https://md.research.elamur.ai/free/en/papers/chen-2025-mlr-bench-evaluating-ai/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hui Chen, Miao Xiong, Yujie Lu, et al.*2025 · 21 citations*
25. [**Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents arXiv:2502.16069**Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding, et al.*2025 · 20 citations*](https://md.research.elamur.ai/free/en/papers/kon-2025-curie-rigorous-automated-scientific/)
26. [**AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite arXiv:2510.21652**Jonathan Bragg, Mike D'Arcy, Nishant Balepur, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/bragg-2025-astabench-rigorous-benchmarking-ai-agents/)
27. [**Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback arXiv:2501.03916**Jiakang Yuan, Xiangchao Yan, Shiyang Feng, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2025-dolphin-moving-closed-loop/)
28. [**From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery arXiv:2508.14111**Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/wei-2025-ai-science-agentic-science/)
29. [**The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas arXiv:2506.20803**Chenglei Si, Tatsunori Hashimoto, Diyi Yang*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/si-2025-ideation-execution-gap-execution/)
30. [**DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively arXiv:2509.26603**Yixuan Weng, Minjun Zhu, Qiujie Xie, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/weng-2025-deepscientist-advancing-frontier-pushing/)
31. [**EXP-Bench: Can AI Conduct AI Research Experiments? arXiv:2505.24785**Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/kon-2025-exp-bench-ai-conduct/)
32. [**Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs arXiv:2507.09477**Yangning Li, Weizhi Zhang, Yuyao Yang, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-towards-agentic-rag-deep-reasoning/)
33. [**Sparks of Science: Hypothesis Generation Using Structured Paper Data arXiv:2504.12976**Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/o-neill-2025-sparks-science-hypothesis-generation-using/)
34. **[MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?](https://md.research.elamur.ai/free/en/papers/zhang-2025-mlrc-bench-language-agents/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, et al.*2025 · 13 citations*
35. [**AI Scientists Fail Without Strong Implementation Capability arXiv:2506.01372**Minjun Zhu, Qiujie Xie, Yixuan Weng, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-ai-scientists-fail-strong/)
36. **[AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage](https://md.research.elamur.ai/free/en/papers/zhao-2025-autoreproduce-automatic-ai-experiment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuanle Zhao, Zilin Sang, Yuxuan Li, et al.*2025 · 12 citations*
37. **[IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery](https://md.research.elamur.ai/free/en/papers/garikaparthi-2025-iris-interactive-research-ideation-system/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, et al.*2025 · 11 citations*
38. [**ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows arXiv:2505.19897**Qiushi Sun, Zhoumianze Liu, Chang Ma, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/sun-2025-scienceboard-evaluating-multimodal-autonomous-agents/)
39. [**The More You Automate, the Less You See: Hidden Pitfalls of AI Scientist Systems arXiv:2509.08713**Ziming Luo, Atoosa Kasirzadeh, Nihar B. Shah*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/luo-2025-more-automate-less-see/)
40. [**EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery arXiv:2603.08127**Yougang Lyu, Xi Zhang, Xinhao Yi, et al.*2026 · 10 citations*](https://md.research.elamur.ai/free/en/papers/lyu-2026-evoscientist-towards-multi-agent-evolving/)
41. **[Language Modeling by Language Models](https://md.research.elamur.ai/free/en/papers/cheng-2025-language-modeling-language-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Junyan Cheng, Peter Clark, Kyle Richardson*2025 · 9 citations*
42. [**SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents arXiv:2505.23559**Kunlun Zhu, Jiaxun Zhang, Ziheng Qi, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-safescientist-toward-risk-aware-scientific/)
43. **[SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-superwriter-reflection-driven-long-form/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuhao Wu, Yushi Bai, Zhiqiang Hu, et al.*2026 · 6 citations*
44. [**AI for Auto-Research: Roadmap & User Guide arXiv:2605.18661**Lingdong Kong, Xian Sun, Wei Chow, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kong-2026-ai-auto-research-roadmap-user/)
45. [**How Far Are We From True Auto-Research? arXiv:2605.19156**Zhengxin Zhang, Ning Wang, Sainyam Galhotra, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2026-far-true-auto-research/)
46. **[Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design](https://md.research.elamur.ai/free/en/papers/yao-2026-instructional-agents-reducing-teaching-faculty/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Huaiyuan Yao, Wanpeng Xu, Justin Turnau, et al.*2026 · 4 citations*
47. [**Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems arXiv:2505.17968**Jiayi Geng, Howard Chen, Dilip Arumugam, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/geng-2025-large-language-models-reliable/)
48. **[Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction](https://md.research.elamur.ai/free/en/papers/shen-2026-metacognitive-self-correction-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xu Shen, Qi Zhang, Song Wang, et al.*2026 · 3 citations*
49. **[Can We Predict Before Executing Machine Learning Agents?](https://md.research.elamur.ai/free/en/papers/zheng-2026-can-we-predict-before-executing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingsheng Zheng, Jintian Zhang, Yujie Luo, et al.*2026 · 2 citations*
50. **[Learning to Ideate for Machine Learning Engineering Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-learning-ideate-machine-learning-engineering/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yunxiang Zhang, Kang Zhou, Zhichao Xu, et al.*2026 · 2 citations*
51. **[LVLM-Aware Multimodal Retrieval for RAG-Based Medical Diagnosis with General-Purpose Models](https://md.research.elamur.ai/free/en/papers/mazor-2026-lvlm-aware-multimodal-retrieval-rag/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nir Mazor, Tom Hope*2026 · 2 citations*
52. [**SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones? arXiv:2605.30329**Sy-Tuyen Ho, Minghui Liu, Huy Nghiem, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/ho-2026-soundnessbench-ai-scientist-really/)
53. [**Training AI Scientists to Replicate Research arXiv:2608.13331**Damon Falck, Samer Sabri, Anja Surina, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/falck-2026-training-ai-scientists-replicate/)
54. **[AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists](https://md.research.elamur.ai/free/en/papers/pan-2026-airaxiv-ai-driven-open-access/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junshu Pan, Panzhong Lu, Yixuan Weng, et al.*2026 · 1 citation*
55. [**FARS: A Fully Automated Research System Deployed at Scale arXiv:2606.31651**Qiong Tang, Tianxiang Sun, Xiangkun Hu, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tang-2026-fars-fully-automated-research/)
56. [**Workflow Closure Is Not Scientific Closure in Auto-Research Systems arXiv:2605.26200**Shuai Wang, Xinyuan Tian, Pangpang Liu, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/wang-2026-workflow-closure-scientific-closure/)
57. **[Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image Understanding](https://md.research.elamur.ai/free/en/papers/xu-2026-beyond-single-view-comprehensive-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dexuan Xu, Yuan Jiayin, Jianing Wang, et al.*2026*
58. **[Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and Benchmark](https://md.research.elamur.ai/free/en/papers/luo-2026-can-ai-revise-research-papers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zihan Luo, Hong Huang, Jianxun Lian, et al.*2026*
59. **[ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-climagent-llm-as-agents-autonomous/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Wang, Jindong Han, Wei Fan, et al.*2026*
60. **[CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation](https://md.research.elamur.ai/free/en/papers/yuan-2026-ct-finebench-diagnostic-fidelity-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruifeng Yuan, Wanxing Chang, Weiwei Cao, et al.*2026*
61. **[Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-hetero-designer-automated-design-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu, et al.*2026*
62. **[IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review](https://md.research.elamur.ai/free/en/papers/ma-2026-intragent-llm-agent-content-grounded/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fengbo Ma, Zixin Rao, Xiaoting Li, et al.*2026*
63. [**Language corpora for the Dutch medical domain arXiv:2604.25374**B. van Es*2026*](https://md.research.elamur.ai/free/en/papers/es-2026-language-corpora-dutch-medical-domain/)
64. **[Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/luo-2026-latent-attention-denoising-training-free/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.*2026*
65. **[MedKInstruct: A Multimodal Knowledge Graph Based Framework for Multi-Hop and Hard-Negative Instruction Data Synthesis in MedVQA](https://md.research.elamur.ai/free/en/papers/wu-2026-medkinstruct-multimodal-knowledge-graph-based/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yinan Wu, Jihang Jin, Xuhao Bao, et al.*2026*
66. [**Position: Academic Conferences are Potentially Facing Denominator Gaming Caused by Fully Automated Scientific Agents arXiv:2605.09915**Rong Shan, Te Gao, Hang Zheng, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shan-2026-position-academic-conferences-potentially/)
67. **[SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration](https://md.research.elamur.ai/free/en/papers/tang-2026-sciexplore-evaluating-autonomous-agents-scientific/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yinhao Tang, Youqing Fang, Yanan Sun, et al.*2026*
68. **[Towards a Radiologist Imitation Framework for 3D CT Diagnosis with Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-radiologist-imitation-framework-3d-ct/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Kaidi Zhang, Zhiyuan Yan, Gao Cheng, et al.*2026*
69. **[“Excuse me, may I say something...” CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations](https://md.research.elamur.ai/free/en/papers/wu-2026-excuse-me-may-i-say/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Wu, Jinhong Yu, Jingwei Xiong, et al.*2026*

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