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Who cites Varun Chandrasekaran

916 citations of their works from 916 papers of our library (of the 149,439 whose bibliographies we read) · 192 with a page here, the most cited first · page 2 of 2 · 101–192 · ← Varun Chandrasekaran

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  1. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
  2. Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models — A SurveyarXiv:2404.01869Philipp Mondorf, Barbara Plank2024 · 53 citations
  3. Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language ModelLeonie Weissweiler, Valentin Hofmann, Anjali Kantharuban2023 · 47 citations
  4. MathChat: Converse to Tackle Challenging Math Problems with LLM AgentsarXiv:2306.01337Yiran Wu; Feiran Jia; Shaokun Zhang; Hangyu Li; Erkang Zhu; Yue Wang; Yin Tat Lee; Richard Peng; Qingyun Wu;, Chi Wang2023 · 46 citations
  5. Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language ModelsarXiv:2308.11764Mohamed Elaraby, Mengyin Lu, Jacob Dunn, et al.2023 · 43 citations
  6. An Emulator for Fine-Tuning Large Language Models using Small Language ModelsarXiv:2310.12962Eric Mitchell, Rafael Rafailov, Archit Sharma, et al.2023 · 36 citations
  7. Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMsarXiv:2402.12030 · Transactions on Machine Learning Research, January 2025Nicolas Boizard, Kevin El Haddad, Celine Hudelot, et al.2024 · 35 citations
  8. Through the Lens of Core Competency: Survey on Evaluation of Large Language ModelsarXiv:2308.07902Ziyu Zhuang, Qiguang Chen, Longxuan Ma, et al.2023 · 35 citations
  9. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language ModelsarXiv:2305.10263Chuang Liu, Renren Jin, Yuqi Ren, et al.2023 · 34 citations
  10. Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge EvaluationarXiv:2306.05783Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, et al.2023 · 34 citations
  11. LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based RepresentationsarXiv:2305.18354Yudong Xu, Wenhao Li, Pashootan Vaezipoor, et al.2023 · 32 citations
  12. Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content FilteringarXiv:2304.12102Yucheng Li2023 · 32 citations
  13. Towards Reasoning in Large Language Models via Multi-Agent Peer Review CollaborationarXiv:2311.08152Zhenran Xu, Senbao Shi, Baotian Hu, et al.2023 · 29 citations
  14. Evaluating ChatGPT and Bard AI on Arabic Sentiment AnalysisArabic Natural Language Processing Conference (ArabicNLP)Abdulmohsen Al-Thubaity, Sakhar Alkhereyf, Hanan Murayshid, et al.2023 · 27 citations
  15. Language Model Alignment in Multilingual Trolley ProblemsarXiv:2407.02273Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, et al.2024 · 23 citations
  16. Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language ModelsarXiv:2406.06563Tianwen Wei, Bo Zhu, Liang Zhao, et al.2024 · 21 citations
  17. Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal ReasoningarXiv:2310.03249Mohamed Aghzal, Erion Plaku, Ziyu Yao2023 · 21 citations
  18. LLM-Assisted Rule Based Machine Translation for Low/No-Resource LanguagesJared Coleman, Bhaskar Krishnamachari, Ruben Rosales, et al.2024 · 20 citations
  19. The Vector Grounding ProblemarXiv:2304.01481Dimitri Coelho Mollo, Raphael Milliere2023 · 20 citations
  20. ALGO: Synthesizing Algorithmic Programs with LLM-Generated Oracle VerifiersarXiv:2305.14591Kexun Zhang, Danqing Wang, Jingtao Xia, et al.2023 · 19 citations
  21. Rethinking Reflection in Pre-TrainingarXiv:2504.04022Essential AI: Darsh J Shah, Peter Rushton, Somanshu Singla, et al.2025 · 15 citations
  22. Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy DetectionarXiv:2405.02318Abhinav Lalwani, Tasha Kim, Lovish Chopra, et al.2024 · 15 citations
  23. Understanding Chain-of-Thought in LLMs through Information TheoryarXiv:2411.11984Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu2024 · 14 citations
  24. GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models EvaluationarXiv:2402.15745Yi Zong, Xipeng Qiu2024 · 11 citations
  25. Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant EvaluationarXiv:2501.14275Sadegh Mahdavi, Muchen Li, Kaiwen Liu, et al.2025 · 10 citations
  26. IOLBENCH: Benchmarking LLMs on Linguistic ReasoningarXiv:2501.04249Satyam Goyal, Soham Dan2025 · 8 citations
  27. Halu-J: Critique-Based Hallucination JudgearXiv:2407.12943Binjie Wang, Steffi Chern, Ethan Chern, et al.2024 · 8 citations
  28. "Is the Pope Catholic?" Applying Chain-of-Thought Reasoning to Understanding Conversational ImplicaturesZae Myung Kim, David E. Taylor, Dongyeop Kang2023 · 6 citations
  29. Nothing New Under the Sun? The Study of Biblical Hebrew in the Era of Generative Pre-trained AIA. G. Elrod2023 · 4 citations
  30. Attention to Non-AdoptersFindings of the Association for Computational LinguisticsKaitlyn Zhou, Kristina Gligorić, Myra Cheng, et al.2026 · 1 citation
  31. SDUs DAISY: A Benchmark for Danish CulturearXiv:2601.19930Jacob Nielsen, Stine L. Beltoft, Peter Schneider-Kamp, et al.2026
  32. 360Zhinao Technical ReportarXiv:2405.133862024

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