🧑‍🔬 Who cites Erin Bransom

301 citations of their works from 298 papers of our library (of the 149,439 whose bibliographies we read) · 53 with a page here, the most cited first · ← Erin Bransom

1. Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
2. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 987 citations
3. Qwen3-VL Technical ReportarXiv:2511.21631Shuai Bai, Yuxuan Cai, Ruizhe Chen, et al.2025 · 370 citations
4. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
5. Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingarXiv:2306.01693Zeqiu Wu, Yushi Hu, Weijia Shi, et al.2023 · 223 citations
6. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsarXiv:2504.10479Jinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 216 citations
7. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
8. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 152 citations
9. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingarXiv:2412.10302Zhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 137 citations
10. Assisting in Writing Wikipedia-like Articles From Scratch with Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yijia Shao, Yucheng Jiang, Theodore Kanell, et al.2024 · 131 citations
11. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
12. How to Train Long-Context Language Models (Effectively)Annual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 89 citations
13. Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing TasksLanguage Resources and Evaluation Conference (LREC)Ruiyang Zhou, Lu Chen, Kai Yu2024 · 74 citations
14. Summary of a Haystack: A Challenge to Long-Context LLMs and RAG SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Philippe Laban, Alexander Fabbri, Caiming Xiong, et al.2024 · 69 citations
15. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
16. MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Guo, Tianyu Zheng, Yizhi Li, et al.2025 · 40 citations
17. CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklistsConference on Empirical Methods in Natural Language Processing (EMNLP)Yukyung Lee, JoongHoon Kim, Jaehee Kim, et al.2025 · 37 citations
18. On the Diversity of Synthetic Data and its Impact on Training Large Language ModelsarXiv:2410.15226Hao Chen, Abdul Waheed, Xiang Li, et al.2024 · 35 citations
19. MiMo-VL Technical ReportarXiv:2506.03569Xiaomi LLM-Core Team, Zihao Yue, Zhenru Lin, et al.2025 · 33 citations
20. The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form InputarXiv:2501.03200Alon Jacovi, Andrew Wang, Chris Alberti, et al.2025 · 32 citations
21. Reading Subtext: Evaluating Large Language Models on Short Story Summarization with WritersTransactions of the Association for Computational Linguistics (TACL)Melanie Subbiah, Sean Zhang, Lydia B. Chilton, et al.2024 · 30 citations
22. 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
23. A Survey on Evaluation of LLM-based AgentsFindings of the Association for Computational LinguisticsAsaf Yehudai, Lilach Eden, Alan Li, et al.2026 · 21 citations
24. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
25. KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document UnderstandingFindings of the Association for Computational LinguisticsAhmed Heakl, Muhammad Abdullah Sohail, Mukul Ranjan, et al.2025 · 21 citations
26. Sparks of Science: Hypothesis Generation Using Structured Paper DataarXiv:2504.12976Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.2025 · 16 citations
27. 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
28. Fanar 2.0: Arabic Generative AI StackarXiv:2603.16397FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, et al.2026 · 11 citations
29. AIN: The Arabic INclusive Large Multimodal ModelarXiv:2502.00094Ahmed Heakl, Sara Ghaboura, Omkar Thawkar, et al.2025 · 11 citations
30. Grounding Multilingual Multimodal LLMs With Cultural KnowledgeConference on Empirical Methods in Natural Language Processing (EMNLP)Jean De Dieu Nyandwi, Yueqi Song, Simran Khanuja, et al.2025 · 11 citations
31. InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and ReflectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Yuhang Liu, Pengxiang Li, Zishu Wei, et al.2026 · 10 citations
32. Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 ExperimentarXiv:2411.03417Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, et al.2024 · 10 citations
33. VisualWebInstruct: Scaling up Multimodal Instruction Data through Web SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Yiming Jia, Jiachen Li, Xiang Yue, et al.2025 · 9 citations
34. Discourse-Driven Evaluation: Unveiling Factual Inconsistency in Long Document SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yang Zhong, Diane Litman2025 · 8 citations
35. Stress Testing Factual Consistency Metrics for Long-Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zain Muhammad Mujahid, Dustin Wright, Isabelle Augenstein2026 · 3 citations
36. Author-in-the-Loop Response Generation and Evaluation: Integrating Author Expertise and Intent in Responses to Peer ReviewAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Ruan, Iryna Gurevych2026 · 2 citations
37. NSF-SciFy: Mining the NSF Awards Database for Scientific ClaimsAnnual Meeting of the Association for Computational Linguistics (ACL)Delip Rao, Weiqiu You, Eric Wong, et al.2026 · 2 citations
38. RbtAct: Rebuttal as Supervision for Actionable Review Feedback GenerationFindings of the Association for Computational LinguisticsSihong Wu, Yiling Ma, Yilun Zhao, et al.2026 · 2 citations
39. STEP3-VL-10B Technical ReportarXiv:2601.09668Ailin Huang, Chengyuan Yao, Chunrui Han, et al.2026 · 2 citations
40. When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Francesco Ortu, Zhijing Jin, Diego Doimo, et al.2026 · 2 citations
41. Benchmarking Vision Language Models on German Factual DataarXiv:2504.11108Rene Peinl, Vincent Tischler2025 · 2 citations
42. 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
43. Intention-Adaptive LLM Fine-Tuning for Text Revision GenerationFindings of the Association for Computational LinguisticsZhexiong Liu, Diane Litman2026 · 1 citation
44. RotBench: Evaluating Multi-modal Large Language Models on Identifying Image RotationConference of the European Chapter of the Association for Computational Linguistics (EACL)Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin, et al.2026 · 1 citation
45. Adapting Vision-Language Models for E-commerce Understanding at ScaleConference of the European Chapter of the Association for Computational Linguistics (EACL)Matteo Nulli, Vladimir Orshulevich, Tala Bazazo, et al.2026
46. Agentic Oversight via Dialectic ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Leonardo Ranaldi, Federico Ranaldi2026
47. Bears, all bears, and some bears. Language Constraints on Language Models' Inductive InferencesFindings of the Association for Computational LinguisticsSriram Padmanabhan, Siyuan Song, Kanishka Misra2026
48. Common Objects Out of Context (COOCo): Investigating Multimodal Context and Semantic Scene Violations in Referential CommunicationTransactions of the Association for Computational Linguistics (TACL)Filippo Merlo, Ece Takmaz, Wenkai Chen, et al.2026
49. GeoRC: A Benchmark for Geolocation Reasoning ChainsAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Talreja, Joshua Diao, Jim James, et al.2026
50. Grounded Concreteness: Human-Like Concreteness Sensitivity in Vision–Language ModelsFindings of the Association for Computational LinguisticsAryan Roy, Zekun Wang, Christopher J. MacLellan2026
51. How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Pritam Sil, Durgaprasad Karnam, Vinay Reddy Venumuddala, et al.2026
52. VIGiA: Instructional Video Guidance via Dialogue Reasoning and RetrievalFindings of the Association for Computational LinguisticsDiogo Glória-Silva, David Semedo, Joao Magalhaes2026
53. When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and NoiseWorkshop on Advances in Language and Vision Research (ALVR)Philip Wootaek Shin, Ajay Narayanan Sridhar, Lakshmi Sivani Devarapalli, et al.2026

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