🧑‍🔬 Who cites Mohammad Aliannejadi

128 citations of their works from 107 papers of our library (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← Mohammad Aliannejadi

1. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
2. 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
3. Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaborationFindings of the Association for Computational LinguisticsYang Deng, Lizi Liao, Liang Chen, et al.2023 · 129 citations
4. Building and Evaluating Open-Domain Dialogue Corpora with Clarifying QuestionsConference on Empirical Methods in Natural Language Processing (EMNLP)Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, et al.2021 · 111 citations
5. ChatQA: Surpassing GPT-4 on Conversational QA and RAGConference on Neural Information Processing Systems (NeurIPS)Zihan Liu, Wei Ping, Rajarshi Roy, et al.2024 · 58 citations
6. CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tong Zhang, Peixin Qin, Yang Deng, et al.2024 · 52 citations
7. Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
8. A Survey on Asking Clarification Questions Datasets in Conversational SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Hossein A. Rahmani, Xi Wang, Yue Feng, et al.2023 · 28 citations
9. SemEval-2026 Task 8: MTRAGEval: Evaluating Multi-Turn RAG ConversationsInternational Workshop on Semantic Evaluation (SemEval)Sara Rosenthal, Vraj Shah, Yannis Katsis, et al.2026 · 26 citations
10. InSCIt: Information-Seeking Conversations with Mixed-Initiative InteractionsTransactions of the Association for Computational Linguistics (TACL)Zeqiu Wu, Ryu Parish, Hao Cheng, et al.2023 · 23 citations
11. Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw DatasetConference of the European Chapter of the Association for Computational Linguistics (EACL)Brielen Madureira, David Schlangen2023 · 13 citations
12. Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsRui Qi, Fengran Mo, Yufeng Chen, et al.2026 · 5 citations
13. Referential ambiguity and clarification requests: comparing human and LLM behaviourWorkshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Chris Madge, Matthew Purver, Massimo Poesio2025 · 4 citations
14. Agentic Conversational Search with Contextualized Reasoning via Reinforcement LearningFindings of the Association for Computational LinguisticsFengran Mo, Yifan Gao, Sha Li, et al.2026 · 2 citations
15. Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User IntentsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyi Wang, Yuxuan Lu, Yimeng Zhang, et al.2026 · 2 citations
16. When and What to Ask: AskBench and Rubric-Guided RLVR for LLM ClarificationFindings of the Association for Computational LinguisticsJiale Zhao, Ke Fang, Lu Cheng2026 · 2 citations
17. uva-irlab-conv at SemEval-2026 Task 8: Multi-Turn RAG with Learned Sparse Retrieval and Listwise RerankingInternational Workshop on Semantic Evaluation (SemEval)Simon Lupart, Kidist Mekonnen, Zahra Abbasiantaeb, et al.2026 · 1 citation
18. A Teacher-Student Approach to Creating Verified Synthetic Clarification and Correction Dialogues for TableQA TasksLanguage Resources and Evaluation Conference (LREC)Christian Poelitz, Nick McKenna2026
19. AutoChecklist: Composable Pipelines for Checklist Generation and Scoring with LLM-as-a-JudgeAnnual Meeting of the Association for Computational Linguistics (ACL)Karen Zhou, Chenhao Tan2026
20. ClarVis: A Dataset of Clarification Requests and Grounding in Collaborative Data Visualization DialoguesAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Abari Bhattacharya, Barbara Di Eugenio2026
21. VIDA: A Visual Intent-driven Design Assistant for Proactive Multimodal ClarificationFindings of the Association for Computational LinguisticsYanshan Liu, Hongbo Zhang, Zhen Sun, et al.2026

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