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Who cites Gaurav Mishra

9,492 citations of their works from 7,760 papers of our library (of the 149,439 whose bibliographies we read) · 1,843 with a page here, the most cited first · page 19 of 19 · 1801–1843 · ← Gaurav Mishra

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  1. Teaching Values to Machines: Simulating Human-Like Behavior in LLMsWorkshop on Generation, Evaluation and Metrics (GEM)Asaf Yehudai, Naama Rozen, Ariel Gera2026
  2. TeachMaster: Generative Teaching via CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Wang, Runde Yang, Lin Wu, et al.2026
  3. Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and ReasoningFindings of the Association for Computational LinguisticsCong Wan, Ying He, Zhongzhan Huang, et al.2026
  4. Text Analytics Evaluation Framework: A Case Study on LLMs and Social MediaWorkshop on Generation, Evaluation and Metrics (GEM)Yuefeng Shi, Nedjma Ousidhoum, Jose Camacho-Collados2026
  5. TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine ActionFindings of the Association for Computational LinguisticsChenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.2026
  6. The Imperfective Paradox in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Bolei Ma, Yusuke Miyao2026
  7. Thesis Proposal: Intentional Inference for Insight GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Kristýna Onderková2026
  8. Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Deepak Pandita, Christopher M. Homan2026
  9. TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist EnsemblesAnnual Meeting of the Association for Computational Linguistics (ACL)Yirong Zeng, Yufei Liu, Xiao Ding, et al.2026
  10. Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and HumanitiesShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECWajdi Zaghouani2026
  11. Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Yang, Bing Han, Hui Wang, et al.2026
  12. Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Jeongho Yoon, Chanhee Park, Yongchan Chun, et al.2026
  13. Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience RefinementFindings of the Association for Computational LinguisticsCheng Yang, Xuemeng Yang, Licheng Wen, et al.2026
  14. TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.2026
  15. TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question AnsweringFindings of the Association for Computational LinguisticsYingxu Wang, Jiaxin Huang, Mengzhu Wang, et al.2026
  16. Training-Free Adaptive Speculative Decoding via Linguistic PriorsFindings of the Association for Computational LinguisticsJingyi Wang, Jiaqi Huang, Zunnan Xu, et al.2026
  17. Travel on the ICD Tree: Benchmarking Agentic Reasoning for ICD Coding from Chinese Electronic Medical RecordsFindings of the Association for Computational LinguisticsXinjie Xu, Yongqi Fan, Shuang-shuang Chen, et al.2026
  18. UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal ReasoningFindings of the Association for Computational LinguisticsYifan Wang, Yun Fu2026
  19. UniCM: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingFindings of the Association for Computational LinguisticsChenkai Xu, Xu Wang, Zhenyi Liao, et al.2026
  20. UniSRM: A Unified Speech Reward Model for Reasoning-Based Fine-grained AssessmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanyuan Wang, Dongchao Yang, Yayue Deng, et al.2026
  21. Unmasking the Factual-Conceptual Gap in Persian Language ModelsProceedings of the Workshop on NLP and LLMs for the Iranian Language FamilyAlireza Sakhaeirad, Ali Ma'manpoosh, Arshia Hemmat2026
  22. Verifiable LLM-Generated Text Detection via Projected Semantic-Structural DistributionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochong Xiong, Qien Li, Wangwang Lian, et al.2026
  23. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  24. Vision-Language Models Mistake Head Orientation for Gaze Direction: Nonverbal Conversation CuesFindings of the Association for Computational LinguisticsZory Zhang, Pinyuan Feng, Bingyang Wang, et al.2026
  25. ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language ModelsLanguage Resources and Evaluation Conference (LREC)Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.2026
  26. WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation MetricsAnnual Meeting of the Association for Computational Linguistics (ACL)Chenxu Liu, Yingjie Fu, Wei Yang, et al.2026
  27. When Demographic Sensitivity Isn't What It Seems: Baseline-Aware Counterfactual Audits for Clinical NLPBioNLPHyunwoo Yoo2026
  28. When Similar Means Different: Evaluating LLMs on Arabic–Hebrew CognatesJunhong Liang, Noor Abo Mokh, Bashar Alhafni2026
  29. Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM JudgesConference on Computational Natural Language Learning (CoNLL)Anuradha Welivita, Fawzia Zeitoun, Pearl Pu2026
  30. Zero-Shot Detection of LLM-Generated Text using Temperature SensitivityAnnual Meeting of the Association for Computational Linguistics (ACL)Shixuan Ma, Jiahao Li, Zhendong Mao, et al.2026
  31. ZIP: Quantifying Which Words Matter in Zero-Shot Instructional PromptsJoint Conference on Lexical and Computational Semantics (*SEM)Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.2026
  32. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Acta Automatica Sinica (自动化学报)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025
  33. Huaputong: Large Language Model for Genealogical Question-answering with Knowledge Reasoning (华谱通: 基于知识推理的家谱问答大语言模型)Journal of SoftwareXindong Wu (吴信东), Xingrui Zhuo (卓兴锐), Yongpan Chang (常永泮), et al.2025
  34. MERaLiON-SER: Robust Speech Emotion Recognition Model for English and SEA LanguagesarXiv:2511.04914Hardik B. Sailor, Aw Ai Ti, Chen Fang Yih Nancy, et al.2025
  35. mucAI at Ahasis Shared Task: Sentiment Analysis with Adaptive Few Shot PromptingRecent Advances in Natural Language Processing (RANLP)Ahmed Mohamed Abdelaal Abdou2025
  36. Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed TechniquesLang Xiong, Raina Gao, Alyssa Jeong2025
  37. Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Journal of SoftwareYanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025
  38. 360Zhinao Technical ReportarXiv:2405.133862024
  39. Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.2024
  40. From Foundation Intelligence to General Intelligence: Status and Prospects of Large-Model-Based GenAI and AGI (从基础智能到通用智能: 基于大模型的GenAI和AGI之现状与展望)Acta Automatica Sinica (自动化学报)Qinghai Miao (缪青海), Xingxia Wang (王兴霞), Jing Yang (杨静), et al.2024
  41. On the importance of Data Scale in Pretraining Arabic Language ModelsarXiv:2401.07760Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.2024
  42. Robustness of GPT Large Language Models on Natural Language Processing Tasks (GPT系列大语言模型在自然语言处理任务中的鲁棒性)Journal of Computer Research and DevelopmentXuanting Chen (陈炫婷), Junjie Ye (叶俊杰), Can Zu (祖璨), et al.2024
  43. Training LLMs to Recognize Hedges in Spontaneous NarrativesSIGDIAL 2024Amie J. Paige, Adil Soubki, John Murzaku, et al.2024

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