🧑‍🔬 Who cites Adrian Weller

1,031 citations of their works from 1,023 papers of our library (of the 149,439 whose bibliographies we read) · 321 with a page here, the most cited first · page 2 of 4 · 101–200 · ← Adrian Weller

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101. Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Findings of the Association for Computational LinguisticsYi Tay, Mostafa Dehghani, Samira Abnar, et al.2023 · 86 citations
102. Evaluating Mathematical Reasoning Beyond AccuracyProceedings of the AAAI Conference on Artificial IntelligenceShijie Xia, Xuefeng Li, Yixin Liu, et al.2024 · 85 citations
103. OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction DataarXiv:2410.01560Shubham Toshniwal, Wei Du, Ivan Moshkov, et al.2024 · 85 citations
104. Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and BeyondAnnual Meeting of the Association for Computational Linguistics (ACL)Liang Wen, Yunke Cai, Fenrui Xiao, et al.2025 · 84 citations
105. MathScale: Scaling Instruction Tuning for Mathematical ReasoningarXiv:2403.02884Zhengyang Tang, Xingxing Zhang, Benyou Wang, et al.2024 · 83 citations
106. Smaug: Fixing Failure Modes of Preference Optimisation with DPO-PositivearXiv:2402.13228Arka Pal, Deep Karkhanis, Samuel Dooley, et al.2024 · 82 citations
107. DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-SolvingarXiv:2407.13690Yuxuan Tong, Xiwen Zhang, Rui Wang, et al.2024 · 81 citations
108. MoBA: Mixture of Block Attention for Long-Context LLMsConference on Neural Information Processing Systems (NeurIPS)Enzhe Lu, Zhejun Jiang, Jingyuan Liu, et al.2025 · 80 citations
109. Toward Self-Improvement of LLMs via Imagination, Searching, and CriticizingConference on Neural Information Processing Systems (NeurIPS)Ye Tian, Baolin Peng, Linfeng Song, et al.2024 · 80 citations
110. Common 7B Language Models Already Possess Strong Math CapabilitiesarXiv:2403.04706Chen Li, Weiqi Wang, Jingcheng Hu, et al.2024 · 79 citations
111. LEGO-Prover: Neural Theorem Proving with Growing LibrariesarXiv:2310.00656Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.2023 · 79 citations
112. DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing ReasoningarXiv:2504.11456Zhiwei He, Tian Liang, Jiahao Xu, et al.2025 · 78 citations
113. OVM, Outcome-supervised Value Models for Planning in Mathematical ReasoningFindings of the Association for Computational LinguisticsFei Yu, Anningzhe Gao, Benyou Wang2023 · 78 citations
114. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-ScalingarXiv:2312.15166Dahyun Kim, Chanjun Park, Sanghoon Kim, et al.2023 · 77 citations
115. G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language ModelarXiv:2312.11370Jiahui Gao, Renjie Pi, Jipeng Zhang, et al.2023 · 76 citations
116. Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text SummarizationComputational LinguisticsMd Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang2022 · 76 citations
117. GPTEval: A Survey on Assessments of ChatGPT and GPT-4Language Resources and Evaluation Conference (LREC)Rui Mao, Guanyi Chen, Xulang Zhang, et al.2024 · 75 citations
118. Recursive Introspection: Teaching Language Model Agents How to Self-ImproveConference on Neural Information Processing Systems (NeurIPS)Yuxiao Qu, Tianjun Zhang, Naman Garg, et al.2024 · 75 citations
119. Self-Contrast: Better Reflection Through Inconsistent Solving PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Yongliang Shen, Linjuan Wu, et al.2024 · 75 citations
120. SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference AccelerationInternational Conference on Learning Representations (ICLR)Jintao Zhang, Jia Wei, Haofeng Huang, et al.2024 · 74 citations
121. Benchmarking Benchmark Leakage in Large Language ModelsarXiv:2404.18824Ruijie Xu, Zengzhi Wang, Run-Ze Fan, et al.2024 · 73 citations
122. Hierarchically Gated Recurrent Neural Network for Sequence ModelingConference on Neural Information Processing Systems (NeurIPS)Zhen Qin, Songlin Yang, Yiran Zhong2023 · 73 citations
123. MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics BenchmarkFindings of the Association for Computational LinguisticsHongwei Liu, Zilong Zheng, Yuxuan Qiao, et al.2024 · 70 citations
124. The Devil in Linear TransformerConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Qin, Xiaodong Han, Weixuan Sun, et al.2022 · 67 citations
125. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionarXiv:2506.13585MiniMax, Aili Chen, Aonian Li, et al.2025 · 66 citations
126. AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and GuardrailsACM Conference on Learning @ Scale (L@S)Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan2024 · 66 citations
127. Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language ModelsarXiv:2402.13064Haoran Li, Qingxiu Dong, Zhengyang Tang, et al.2024 · 65 citations
128. We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?arXiv:2407.01284Runqi Qiao, Qiuna Tan, Guanting Dong, et al.2024 · 65 citations
129. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
130. MARIO: MAth Reasoning with code Interpreter Output - A Reproducible PipelineFindings of the Association for Computational LinguisticsMinpeng Liao, Chengxi Li, Wei Luo, et al.2024 · 64 citations
131. Learning From Mistakes Makes LLM Better ReasonerarXiv:2310.20689Shengnan An, Zexiong Ma, Zeqi Lin, et al.2023 · 64 citations
132. PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyang Song, Zhaochen Su, Xiaoye Qu, et al.2025 · 63 citations
133. Rephrase and Respond: Let Large Language Models Ask Better Questions for ThemselvesarXiv:2311.04205Yihe Deng, Weitong Zhang, Zixiang Chen, et al.2023 · 62 citations
134. Small Models Struggle to Learn from Strong ReasonersFindings of the Association for Computational LinguisticsYuetai Li, Xiang Yue, Zhangchen Xu, et al.2025 · 61 citations
135. Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language ModelsarXiv:2402.02244Xindi Wang, Mahsa Salmani, Parsa Omidi, et al.2024 · 60 citations
136. MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Shuaijie She, Wei Zou, Shujian Huang, et al.2024 · 59 citations
137. Rho-1: Not All Tokens Are What You NeedarXiv:2404.07965Zhenghao Lin, Zhibin Gou, Yeyun Gong, et al.2024 · 59 citations
138. Simple linear attention language models balance the recall-throughput tradeoffarXiv:2402.18668Simran Arora, Sabri Eyuboglu, Michael Zhang, et al.2024 · 59 citations
139. MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zimu Lu, Aojun Zhou, Houxing Ren, et al.2024 · 58 citations
140. O1 Replication Journey — Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?arXiv:2411.16489Zhen Huang, Haoyang Zou, Xuefeng Li, et al.2024 · 58 citations
141. LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuningarXiv:2308.03303Longteng Zhang, Lin Zhang, Shaohuai Shi, et al.2023 · 58 citations
142. Unintended Impacts of LLM Alignment on Global RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Michael J Ryan, William Held, Diyi Yang2024 · 57 citations
143. OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AIConference on Neural Information Processing Systems (NeurIPS)Zhen Huang, Zengzhi Wang, Shijie Xia, et al.2024 · 56 citations
144. RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-FoldConference on Neural Information Processing Systems (NeurIPS)Amrith Setlur, Saurabh Garg, Xinyang Geng, et al.2024 · 56 citations
145. SciAgent: Tool-augmented Language Models for Scientific ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Yubo Ma, Zhibin Gou, Junheng Hao, et al.2024 · 55 citations
146. A Survey of Resource-efficient LLM and Multimodal Foundation ModelsarXiv:2401.08092Mengwei Xu, Wangsong Yin, Dongqi Cai, et al.2024 · 54 citations
147. Granite Code Models: A Family of Open Foundation Models for Code IntelligencearXiv:2405.04324Mayank Mishra, Matt Stallone, Gaoyuan Zhang, et al.2024 · 54 citations
148. InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HDConference on Neural Information Processing Systems (NeurIPS)Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 54 citations
149. Scaling Laws of RoPE-based ExtrapolationarXiv:2310.05209Xiaoran Liu, Hang Yan, Shuo Zhang, et al.2023 · 54 citations
150. Q*: Improving Multi-step Reasoning for LLMs with Deliberative PlanningarXiv:2406.14283Chaojie Wang, Yanchen Deng, Zhiyi Lyu, et al.2024 · 53 citations
151. Towards responsible development of generative AI for education: An evaluation-driven approachJurenka2024 · 53 citations
152. Easy-to-Hard Generalization: Scalable Alignment Beyond Human SupervisionConference on Neural Information Processing Systems (NeurIPS)Zhiqing Sun, Longhui Yu, Yikang Shen, et al.2024 · 51 citations
153. Formal Mathematical Reasoning: A New Frontier in AIarXiv:2412.16075Kaiyu Yang, Gabriel Poesia, Jingxuan He, et al.2024 · 49 citations
154. Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM AgentsarXiv:2410.13185Long Li, Weiwen Xu, Jiayan Guo, et al.2024 · 47 citations
155. A Survey on Deep Learning for Theorem ProvingarXiv:2404.09939Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.2024 · 46 citations
156. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
157. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
158. Key-Point-Driven Data Synthesis with its Enhancement on Mathematical ReasoningProceedings of the AAAI Conference on Artificial IntelligenceYiming Huang, Xiao Liu, Yeyun Gong, et al.2024 · 45 citations
159. TinyGSM: achieving >80% on GSM8k with small language modelsarXiv:2312.09241Bingbin Liu, Sebastien Bubeck, Ronen Eldan, et al.2023 · 45 citations
160. Augmenting Math Word Problems via Iterative Question ComposingProceedings of the AAAI Conference on Artificial IntelligenceHaoxiong Liu, Yifan Zhang, Yifan Luo, et al.2024 · 44 citations
161. Direct Nash Optimization: Teaching Language Models to Self-Improve with General PreferencesarXiv:2404.03715Corby Rosset, Ching-An Cheng, Arindam Mitra, et al.2024 · 44 citations
162. Forward-Backward Reasoning in Large Language Models for Mathematical VerificationFindings of the Association for Computational LinguisticsWeisen Jiang, Han Shi, Longhui Yu, et al.2024 · 44 citations
163. Long-Context Language Modeling with Parallel Context EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Howard Yen, Tianyu Gao, Danqi Chen2024 · 44 citations
164. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
165. Towards Thinking-Optimal Scaling of Test-Time Compute for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Wenkai Yang, Shuming Ma, Yankai Lin, et al.2025 · 43 citations
166. MuggleMath: Assessing the Impact of Query and Response Augmentation on Math ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chengpeng Li, Zheng Yuan, Hongyi Yuan, et al.2024 · 43 citations
167. Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process SupervisionFindings of the Association for Computational LinguisticsZihan Wang, Yunxuan Li, Yuexin Wu, et al.2024 · 43 citations
168. MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard PerturbationsarXiv:2502.06453Kaixuan Huang, Jiacheng Guo, Zihao Li, et al.2025 · 42 citations
169. AgentInstruct: Toward Generative Teaching with Agentic FlowsarXiv:2407.03502Arindam Mitra, Luciano Del Corro, Guoqing Zheng, et al.2024 · 42 citations
170. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
171. DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language ModelsarXiv:2411.00836Chengke Zou, Xingang Guo, Rui Yang, et al.2024 · 41 citations
172. Evaluating Language Models for Mathematics through InteractionsarXiv:2306.01694Katherine M. Collins, Albert Q. Jiang, Simon Frieder, et al.2023 · 40 citations
173. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
174. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
175. Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanarXiv:2404.12534Peiyang Song, Kaiyu Yang, Anima Anandkumar2024 · 39 citations
176. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
177. AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward ModelingFindings of the Association for Computational LinguisticsZihan Liu, Yang Chen, Mohammad Shoeybi, et al.2025 · 37 citations
178. Efficient Reasoning Models: A SurveyarXiv:2504.10903Sicheng Feng, Gongfan Fang, Xinyin Ma, et al.2025 · 37 citations
179. RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?arXiv:2501.11284Haotian Xu, Xing Wu, Weinong Wang, et al.2025 · 37 citations
180. SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language ModelsConference on Neural Information Processing Systems (NeurIPS)Dan Zhang, Ziniu Hu, Sining Zhoubian, et al.2024 · 37 citations
181. Multilingual Mathematical AutoformalizationarXiv:2311.03755Albert Q. Jiang, Wenda Li, Mateja Jamnik2023 · 37 citations
182. Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement LearningarXiv:2402.05808Zhiheng Xi, Wenxiang Chen, Boyang Hong, et al.2024 · 36 citations
183. MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model EvaluationarXiv:2312.17080Zhongshen Zeng, Pengguang Chen, Shu Liu, et al.2023 · 36 citations
184. AbstentionBench: Reasoning LLMs Fail on Unanswerable QuestionsConference on Neural Information Processing Systems (NeurIPS)Polina Kirichenko, Mark Ibrahim, Kamalika Chaudhuri, et al.2025 · 35 citations
185. MasRouter: Learning to Route LLMs for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanwei Yue, Guibin Zhang, Boyang Liu, et al.2025 · 35 citations
186. 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
187. mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Huiyuan Lai, Malvina Nissim2024 · 34 citations
188. TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormerarXiv:2307.14995Zhen Qin, Dong Li, Weigao Sun, et al.2023 · 33 citations
189. TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked TextConference on Empirical Methods in Natural Language Processing (EMNLP)Songshuo Lu, Hua Wang, Yutian Rong, et al.2025 · 32 citations
190. FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language ModelsarXiv:2505.02735Zhouliang Yu, Ruotian Peng, Keyi Ding, et al.2025 · 31 citations
191. Learning Planning-based Reasoning by Trajectories Collection and Process Reward SynthesizingConference on Empirical Methods in Natural Language Processing (EMNLP)Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, et al.2024 · 31 citations
192. Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language ModelsarXiv:2401.04658Zhen Qin, Weigao Sun, Dong Li, et al.2024 · 31 citations
193. ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique PipelinearXiv:2404.02893Yifan Xu, Xiao Liu, Xinghan Liu, et al.2024 · 30 citations
194. Language Models as Science TutorsarXiv:2402.11111Alexis Chevalier, Jiayi Geng, Alexander Wettig, et al.2024 · 30 citations
195. InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language ModelsarXiv:2503.06692Yuchen Yan, Yongliang Shen, Yang Liu, et al.2025 · 29 citations
196. Towards Effective and Efficient Continual Pre-training of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Chen, Zhipeng Chen, Jiapeng Wang, et al.2025 · 29 citations
197. JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis ModelsConference on Neural Information Processing Systems (NeurIPS)Kun Zhou, Beichen Zhang, Jiapeng Wang, et al.2024 · 29 citations
198. LangBridge: Multilingual Reasoning Without Multilingual SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Dongkeun Yoon, Joel Jang, Sungdong Kim, et al.2024 · 29 citations
199. T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference ScalingarXiv:2501.11651Zhenyu Hou, Xin Lv, Rui Lu, et al.2025 · 28 citations
200. Automatic Instruction Evolving for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Zeng, Can Xu, Yingxiu Zhao, et al.2024 · 28 citations

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