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Who cites Eric Tang

2,176 citations of their works from 2,152 papers of our library (of the 149,439 whose bibliographies we read) · 844 with a page here, the most cited first · page 8 of 9 · 701–800 · ← Eric Tang

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  1. RACER: Retrieval-Augmented Contextual Rapid Speculative DecodingFindings of the Association for Computational LinguisticsZihong Zhang, Zuchao Li, Lefei Zhang, et al.2026 · 1 citation
  2. Reasoning Fails Where Step Flow BreaksAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyu Xu, Yulan Pan, Xiaosong Yuan, et al.2026 · 1 citation
  3. Reasoning Up the Instruction Ladder for Controllable Language ModelsFindings of the Association for Computational LinguisticsZishuo Zheng, Vidhisha Balachandran, Chan Young Park, et al.2026 · 1 citation
  4. ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha MomentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuquan Wang, Mi Zhang, Yining Wang, et al.2026 · 1 citation
  5. Rectified Sparse Attention for Efficient Long-Sequence GenerationFindings of the Association for Computational LinguisticsYutao Sun, Tianzhu Ye, Li Dong, et al.2026 · 1 citation
  6. Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Shiyu Li, Peiming Li, et al.2026 · 1 citation
  7. ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, et al.2026 · 1 citation
  8. RISER: Orchestrating Latent Reasoning Skills for Adaptive Activation SteeringFindings of the Association for Computational LinguisticsWencheng Ye, Xiaoyang Yuan, Yi Bin, et al.2026 · 1 citation
  9. Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Haolei Xu, Haiwen Hong, Hongxing Li, et al.2026 · 1 citation
  10. SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMsFindings of the Association for Computational LinguisticsJie Sun, Yu Liu, Lu Han, et al.2026 · 1 citation
  11. SmartAD: Capacity-Aligned Agent Distillation for Small Language ModelsFindings of the Association for Computational LinguisticsGuokai Tang, Feng Zhao2026 · 1 citation
  12. TELL-TALE: Task Efficient LLMs with Task Aware Layer EliminationFindings of the Association for Computational LinguisticsOmar Naim, Krish Sharma, Niyar R Barman, et al.2026 · 1 citation
  13. The Bidirectional Process Reward ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Lingyin Zhang, Jun Gao, Xiaoxue Ren, et al.2026 · 1 citation
  14. Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhichen Liu, Yongyuan Li, Yang Xu2026 · 1 citation
  15. ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided DecodingFindings of the Association for Computational LinguisticsSangjun Song, Minjae Oh, Seungkyu Lee, et al.2026 · 1 citation
  16. Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning ModelsFindings of the Association for Computational LinguisticsMichael R. Metel, Yufei Cui, Boxing Chen, et al.2026 · 1 citation
  17. Towards Stable and Effective Reinforcement Learning for Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Di Zhang, Xun Wu, Shaohan Huang, et al.2026 · 1 citation
  18. When Do Large Language Models Exhibit Unsolicited Deception?Transactions of the Association for Computational Linguistics (TACL)Samuel M. Taylor, Benjamin K. Bergen2026 · 1 citation
  19. When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Xiang, Yixin Ji, Ruotao Xu, et al.2026 · 1 citation
  20. GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs?arXiv:2412.10056Zhikai Lei, Tianyi Liang, Hanglei Hu, et al.2024 · 1 citation
  21. A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Shengji Tang, Jianjian Cao, Weihao Lin, et al.2026
  22. AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage MarginAnnual Meeting of the Association for Computational Linguistics (ACL)Jian Xiong, Jingbo Zhou, Jingyong Ye, et al.2026
  23. Accelerating LLM Fine-Tuning via Embedding Knowledge TransferFindings of the Association for Computational LinguisticsMeishu Peng, Ziyue Zhang, Yi Zhang, et al.2026
  24. AdaMix: Adaptive Mixing for Short and Long Reasoning AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Luo, Xiao Yan, Xinyan Li, et al.2026
  25. Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language ModelsFindings of the Association for Computational LinguisticsXudong Wang, Chaoning Zhang, Chenghao Li, et al.2026
  26. AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanfu Sun, Kang Li, Dongzhe Fan, et al.2026
  27. AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?Findings of the Association for Computational LinguisticsHenan Sun, Kaichi Yu, Yuyao Wang, et al.2026
  28. Attribution-Based Analysis and Optimization of Modular Agentic WorkflowsFindings of the Association for Computational LinguisticsYingxuan Yang, Bo Huang, Siyuan Qi, et al.2026
  29. BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow GenerationFindings of the Association for Computational LinguisticsBo Yuan, Yun Zhou, Zhichao Xu, et al.2026
  30. Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinyang Wu, Mingkuan Feng, Shuai Zhang, et al.2026
  31. Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward ModelsFindings of the Association for Computational LinguisticsQiyuan Zhang, Yufei Wang, Tianhe Wu, et al.2026
  32. Beyond the Singular: Revealing the Value of Multiple Generations in Benchmark EvaluationFindings of the Association for Computational LinguisticsWenbo Zhang, Hengrui Cai, Wenyu Chen2026
  33. Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shun Zou, Yong Wang, Zehui Chen, et al.2026
  34. Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Minzheng Wang, Run Luo, Yanbo Wang, et al.2026
  35. Calibrated Progressive Distillation: Co-Designing Curriculum and Target Mixing for Knowledge Distillation of Large Language ModelsFindings of the Association for Computational LinguisticsMengxiang Zhang, Lingyuan Liu2026
  36. Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhouxuwen, Fangxin Liu, Chao Wang, et al.2026
  37. Calibration-Aware Policy Optimization for Reasoning LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Wang, Xingzhou Lou, Meiqi Wu, et al.2026
  38. Concise Math Reasoning via Difficulty-Aware DistillationFindings of the Association for Computational LinguisticsYifan Wu, Jingze Shi, Bingheng Wu, et al.2026
  39. Confidence-Weighted Token Set Cover for Early Hypothesis Pruning in Self-ConsistencyFindings of the Association for Computational LinguisticsMd Arafat Sultan, Ramón Fernandez Astudillo2026
  40. Consistency of LLMs to Comparative Statements in Mathematical Reasoning TasksLanguage Resources and Evaluation Conference (LREC)Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.2026
  41. CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhuo Wang, Zhuo Zhang, Yafu Li, et al.2026
  42. CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace CreditAnnual Meeting of the Association for Computational Linguistics (ACL)Kangyu Wang, Zhiyun Jiang, Haibo Feng, et al.2026
  43. Critical-CoT: A Robust Defense Framework against Reasoning-Level Backdoor Attacks in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Vu Tuan Truong, Long Bao Le2026
  44. Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Su, Dian Yu, Linfeng Song, et al.2026
  45. Curing Miracle Steps in LLM Mathematical Reasoning with Rubric RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.2026
  46. Data Efficient RLVR via Off-Policy Influence GuidanceAnnual Meeting of the Association for Computational Linguistics (ACL)Erle Zhu, Dazhi Jiang, Yuan Wang, et al.2026
  47. DecoCal: Decoding with Calibration in Diffusion Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Xu, Huixuan Zhang, Xiaojun Wan2026
  48. Decoupling Generalization and Adaptation in Meta-Learning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitin Vetcha, Binqian Xu, Dianbo Liu2026
  49. Detecting Hallucinations in Authentic LLM–Human InteractionsLanguage Resources and Evaluation Conference (LREC)Yujie Ren, Niklas Gruhlke, Anne Lauscher2026
  50. Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher DecodingFindings of the Association for Computational LinguisticsTaewon Yun, Jisu Shin, Jeonghwan Choi, et al.2026
  51. Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoning Sun, Mingzhu Cai, Huang He, et al.2026
  52. Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent SystemsFindings of the Association for Computational LinguisticsZixu Wang, Bingbing Xu, Yige Yuan, et al.2026
  53. DOS: Dependency-Oriented Sampler for Masked Diffusion Language ModelsFindings of the Association for Computational LinguisticsXueyu Zhou, Yangrong Hu, Jian Huang2026
  54. Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Junzhe Wang, Zhiheng Xi, Yajie Yang, et al.2026
  55. EntroBench: Evaluating LLM Watermarking Under Multi-Entropy Scenarios and Practical User OperationsFindings of the Association for Computational LinguisticsPengyuan Qin, Linnan Tu, Yuhan Ke, et al.2026
  56. EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jewon Yeom, Jaewon Sok, Seonghyeon Park, et al.2026
  57. ETR: Entropy Trend Reward for Efficient Chain-of-Thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Xuan Xiong, Huan Liu, Li Gu, et al.2026
  58. Exploiting Tree Structure for Credit Assignment in Reinforcement Learning with Large Language ModelsFindings of the Association for Computational LinguisticsHieu Tran, Zonghai Yao, Hong yu2026
  59. Exploring Layer Activation Dynamic of CoT via Knowledge ProbeAnnual Meeting of the Association for Computational Linguistics (ACL)Chuanxin Zhang, Jiajun Liu, Yao He, et al.2026
  60. FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted ReasonerAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wu, Hongru Sun, Wanqing Li, et al.2026
  61. Follow the Path: Reasoning over Knowledge Graph Paths to Improve Large Language Model FactualityFindings of the Association for Computational LinguisticsMike Zhang, Johannes Bjerva, Russa Biswas2026
  62. From Benchmarks to Skills: Low-Rank Factors for LLM EvaluationTransactions of the Association for Computational Linguistics (TACL)Aviya Maimon, Amir David Nisan Cohen, Gal Vishne, et al.2026
  63. From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step ReasoningFindings of the Association for Computational LinguisticsKiran Purohit, Ramasuri Narayanam, Soumyabrata Pal2026
  64. FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Wang, Zongtao Yang, Zhuojian Hong, et al.2026
  65. GALA: Geometric Data Selection with Strategic Prospecting for Large Language Model Self-trainingFindings of the Association for Computational LinguisticsZhongwei Xie, Ruihao Liao, Zimo Wang, et al.2026
  66. GATE: Graph-based Adaptive Tool Evolution Across Diverse TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Jianwen Luo, Yiming Huang, Jinxiang Meng, et al.2026
  67. Generalizable LLM Learning of Graph Synthetic Data with Post-training AlignmentFindings of the Association for Computational LinguisticsYizhuo Zhang, Heng Wang, Shangbin Feng, et al.2026
  68. GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Ruan, Yichao Du, Jianjie Zheng, et al.2026
  69. Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement LearningFindings of the Association for Computational LinguisticsTiehua Mei, Minxuan Lv, Leiyu Pan, et al.2026
  70. Grammar Search for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, et al.2026
  71. GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-MakingFindings of the Association for Computational LinguisticsSunguk Shin, Hayeong Lee, Jun Ho Seo, et al.2026
  72. GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy InputsFindings of the Association for Computational LinguisticsZhengxin Zhang, Chengyu Huang, Xufu Liu, et al.2026
  73. Hebbian-Guided Bi-Directional Rank Adaptation for Parameter-Efficient Fine-TuningFindings of the Association for Computational LinguisticsXing Zhao, Liu Yang, Xi-Le Zhao, et al.2026
  74. Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu, et al.2026
  75. InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Junyou Su, He Zhu, Xiao Luo, et al.2026
  76. Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhonghang Yuan, Zhefan Wang, Fang Hu, et al.2026
  77. Language Models Learn Universal Representations of Numbers and Here's Why You Should CareAnnual Meeting of the Association for Computational Linguistics (ACL)Michal Štefánik, Timothee Mickus, Marek Kadlčík, et al.2026
  78. Large-Scale Diverse Synthesis for Mid-TrainingFindings of the Association for Computational LinguisticsXuemiao Zhang, Chengying Tu, Can Ren, et al.2026
  79. Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Zexu Sun, Yongcheng Zeng, Erxue Min, et al.2026
  80. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL)Tian Xueyun, MingHua Ma, Bingbing Xu, et al.2026
  81. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMsFindings of the Association for Computational LinguisticsQibin Wang, Pu Zhao, Shaohan Huang, et al.2026
  82. Learning Uncertainty from Sequential Internal Dispersion in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ponhvoan Srey, Xiaobao Wu, Cong-Duy T Nguyen, et al.2026
  83. LeLoRA: Learnable Low-Rank Adaptation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, et al.2026
  84. LEPO: Latent Reasoning Policy Optimization for Large Language ModelsFindings of the Association for Computational LinguisticsYuyan Zhou, Jiarui Yu, Hande Dong, et al.2026
  85. MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Yang, Jianjun Li, Zhibo Zhang, et al.2026
  86. MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in IndonesiaFindings of the Association for Computational LinguisticsXiao Xiao, Iftitahu Ni'mah, Yuyun Wabula, et al.2026
  87. MathSight: A Benchmark Exploring Have Vision-Language Models Really Seen in University-Level Mathematical Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Yuandong Wang, Yao Cui, Yuxin Zhao, et al.2026
  88. MAXS: Meta-Adaptive Exploration with LLM AgentsFindings of the Association for Computational LinguisticsJian Zhang, Zhiyuan Wang, Zhangqi Wang, et al.2026
  89. Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Heming Xia, Cunxiao Du, Rui Li, et al.2026
  90. Mixture of Heterogeneous Grouped Experts for Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhicheng Ma, Xiang Liu, Zhaoxiang Liu, et al.2026
  91. Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Ayan Sar, Pranav Singh Puri, Sumit Aich, et al.2026
  92. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
  93. N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy OptimizationFindings of the Association for Computational LinguisticsXukun Zhu, Hang Yu, Peng Di, et al.2026
  94. NeuralFSM: Adaptive Multi-Agent Coordination via Learning Finite-State Execution PolicyAnnual Meeting of the Association for Computational Linguistics (ACL)Jiye Wang, Yu Wang, Jianbin Li, et al.2026
  95. Open Problems Solved by LLMs? A Survey of Verifiable Mathematical DiscoveryBig Picture v2: Crafting a Research NarrativeIoannis Tzachristas, Georgios Tzachristas, Aifen Sui2026
  96. PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware MetacognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Xu, Fuzhen Yang, Liang Lin, et al.2026
  97. Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential TomorrowFindings of the Association for Computational LinguisticsYangyang Zhong, Yanmei Gu, Zhengqing Zang, et al.2026
  98. PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyu Zheng, Yun Zhu, Yuqian Yuan, et al.2026
  99. Policy-Guided Stepwise Action Planning for Controllable LLM ReasoningFindings of the Association for Computational LinguisticsJianpeng Zhou, Qisheng Hu, Jiahai Wang, et al.2026
  100. Program-of-Thought Reveals LLM Abstraction CeilingsFindings of the Association for Computational LinguisticsMike Zhou, Fenil Bardoliya, Vivek Gupta, et al.2026

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