🧑‍🔬 Who cites Vidhisha Balachandran

593 citations of their works from 556 papers of our library (of the 141,840 whose bibliographies we read) · 46 with a page here, the most cited first · ← Vidhisha Balachandran

1. Survey of Hallucination in Natural Language GenerationZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,957 citations
2. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,222 citations
3. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citations
4. Bias and Fairness in Large Language Models: A SurveyIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,074 citations
5. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 971 citations
6. Unleashing the potential of prompt engineering for large language modelsBanghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
7. The Internal State of an LLM Knows When It's LyingAmos Azaria, Tom Mitchell2023 · 427 citations
8. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingNathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 379 citations
9. Teaching Small Language Models to ReasonLucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, et al.2023 · 340 citations
10. From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsShangbin Feng, Chan Young Park, Yuhan Liu, et al.2023 · 306 citations
11. QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationAlexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 288 citations
12. AlignScore: Evaluating Factual Consistency with A Unified Alignment FunctionYuheng Zha, Yichi Yang, Ruichen Li, et al.2023 · 280 citations
13. TRUE: Re-evaluating Factual Consistency EvaluationOr Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 276 citations
14. CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationShuyang Cao, Lu Wang2021 · 258 citations
15. Trusting Your Evidence: Hallucinate Less with Context-aware DecodingWeijia Shi, Xiaochuang Han, Mike Lewis, et al.2024 · 240 citations
16. Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingYu Meng, Jiaxin Huang, Yu Zhang, et al.2022 · 207 citations
17. RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCheng Niu, Yuanhao Wu, Juno Zhu, et al.2024 · 204 citations
18. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsHaitao Li, Qian Dong, Junjie Chen, et al.2024 · 189 citations
19. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
20. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 178 citations
21. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 170 citations
22. Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive SummarizationMeng Cao, Yue Dong, Jackie Cheung2022 · 167 citations
23. ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationZheheng Luo, Qianqian Xie, Sophia Ananiadou2023 · 160 citations
24. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsLiyan Tang, Philippe Laban, Greg Durrett2024 · 159 citations
25. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsRyo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 159 citations
26. Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error DetectorsLiyan Tang, Tanya Goyal, Alex Fabbri, et al.2023 · 126 citations
27. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationChenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.2023 · 119 citations
28. OpenThoughts: Data Recipes for Reasoning ModelsEtash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 113 citations
29. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
30. ExpertQA: Expert-Curated Questions and Attributed AnswersChaitanya Malaviya, Subin Lee, Sihao Chen, et al.2024 · 109 citations
31. WiCE: Real-World Entailment for Claims in WikipediaRyo Kamoi, Tanya Goyal, Juan Diego Rodriguez, et al.2023 · 109 citations
32. TrueTeacher: Learning Factual Consistency Evaluation with Large Language ModelsZorik Gekhman, Jonathan Herzig, Roee Aharoni, et al.2023 · 106 citations
33. FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive SummarizationDavid Wan, Mohit Bansal2022 · 101 citations
34. Evaluating Attribution in Dialogue Systems: The BEGIN BenchmarkNouha Dziri, Hannah Rashkin, Tal Linzen, et al.2022 · 99 citations
35. Fine-grained Hallucination Detection and Editing for Language ModelsAbhika Mishra, Akari Asai, Vidhisha Balachandran, et al.2024 · 96 citations
36. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the WildBill Yuchen Lin, Yuntian Deng, Khyathi Chandu, et al.2024 · 95 citations
37. FineSurE: Fine-grained Summarization Evaluation using LLMsHwanjun Song, Hang Su, Igor Shalyminov, et al.2024 · 91 citations
38. Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveySachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.2023 · 87 citations
39. Generating Benchmarks for Factuality Evaluation of Language ModelsDor Muhlgay, Ori Ram, Inbal Magar, et al.2024 · 79 citations
40. MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical ReasoningShuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.2024 · 70 citations
41. RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation FrameworkYifan Wang, Vera Demberg2024 · 7 citations
42. Frame In, Frame Out: Measuring Framing Bias in LLM-Generated News SummariesValeria Pastorino, Nafise Sadat Moosavi2026 · 3 citations
43. HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth VerificationSalah Eddine Bekhouche; Abdessalam Bouchekif; Hichem Telli; Mohammed-En-Nadhir Zighem;, Abdenour Hadid2026 · 1 citation
44. Detecting Hallucinations in Authentic LLM–Human InteractionsYujie Ren, Niklas Gruhlke, Anne Lauscher2026
45. HotelCheckSpan: A Benchmark Dataset for LLM FaithfulnessPatricia Schmidtova, Ondrej Dusek, Saad Mahamood2026
46. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

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