---
title: "EMNLP 2023 — all accepted papers — the most cited first"
description: "All 1,182 papers of EMNLP 2023 · page 1 of 12, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/emnlp/2023/papers/"
---
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# EMNLP 2023: all accepted papers

1,182 papers · page 1 of 12 · the most cited first · [← EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/)

**1** [2](https://md.research.elamur.ai/free/en/venues/emnlp/2023/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/emnlp/2023/papers/page/10/) [11](https://md.research.elamur.ai/free/en/venues/emnlp/2023/papers/page/11/) [12](https://md.research.elamur.ai/free/en/venues/emnlp/2023/papers/page/12/) [next →](https://md.research.elamur.ai/free/en/venues/emnlp/2023/papers/page/2/)

1. **[G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment ↗](https://aclanthology.org/2023.emnlp-main.153/)**Yang Liu, Dan Iter, Yichong Xu et al.*904 citations*
2. **[Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding ↗](https://aclanthology.org/2023.emnlp-demo.49/)**Hang Zhang, Xin Li, Lidong Bing · System Demonstrations*586 citations*
3. **[Evaluating Object Hallucination in Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/li-2023-evaluating-object-hallucination-large-vision/)**Yifan Li, Yifan Du, Kun Zhou et al.*559 citations · our summary*
4. **[SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models ↗](https://aclanthology.org/2023.emnlp-main.557/)**Potsawee Manakul, Adian Liusie, Mark Gales*512 citations*
5. **[Is ChatGPT a General-Purpose Natural Language Processing Task Solver?](https://md.research.elamur.ai/free/en/papers/qin-2023-chatgpt-general-purpose-natural-language/)**Chengwei Qin, Aston Zhang, Zhuosheng Zhang et al.*504 citations · our summary*
6. **[Active Retrieval Augmented Generation ↗](https://aclanthology.org/2023.emnlp-main.495/)**Zhengbao Jiang, Frank Xu, Luyu Gao et al.*462 citations*
7. **[CodeT5+: Open Code Large Language Models for Code Understanding and Generation ↗](https://aclanthology.org/2023.emnlp-main.68/)**Yue Wang, Hung Le, Akhilesh Gotmare et al.*433 citations*
8. **[GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints](https://md.research.elamur.ai/free/en/papers/ainslie-2023-gqa-training-generalized-multi-query/)**Joshua Ainslie, James Lee-Thorp, Michiel de Jong et al.*428 citations · our summary*
9. **[FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation](https://md.research.elamur.ai/free/en/papers/min-2023-factscore-fine-grained-atomic-evaluation/)**Sewon Min, Kalpesh Krishna, Xinxi Lyu et al.*374 citations · our summary*
10. **[HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2023-halueval-large-scale-hallucination-evaluation/)**Junyi Li, Xiaoxue Cheng, Xin Zhao et al.*321 citations · our summary*
11. **[Query Rewriting in Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2023-query-rewriting-retrieval-augmented-large/)**Xinbei Ma, Yeyun Gong, Pengcheng He et al.*263 citations · our summary*
12. **[Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents](https://md.research.elamur.ai/free/en/papers/sun-2023-chatgpt-good-search-investigating-large/)**Weiwei Sun, Lingyong Yan, Xinyu Ma et al.*262 citations · our summary*
13. **[LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models](https://md.research.elamur.ai/free/en/papers/hu-2023-llm-adapters-adapter-family-parameter/)**Zhiqiang Hu, Lei Wang, Yihuai Lan et al.*238 citations · our summary*
14. **[StructGPT: A General Framework for Large Language Model to Reason over Structured Data ↗](https://aclanthology.org/2023.emnlp-main.574/)**Jinhao Jiang, Kun Zhou, Zican Dong et al.*234 citations*
15. **[Large Language Models Can Self-Improve](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-can-self/)**Jiaxin Huang, Shixiang Gu, Le Hou et al.*219 citations · our summary*
16. **[Enabling Large Language Models to Generate Text with Citations](https://md.research.elamur.ai/free/en/papers/gao-2023-enabling-large-language-models-generate/)**Tianyu Gao, Howard Yen, Jiatong Yu et al.*204 citations · our summary*
17. **[Query2doc: Query Expansion with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-query2doc-query-expansion-large-language/)**Liang Wang, Nan Yang, Furu Wei*200 citations · our summary*
18. **[Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis ↗](https://aclanthology.org/2023.emnlp-main.49/)**Haoyu Zhang, Yu Wang, Guanghao Yin et al.*188 citations*
19. **[Automatic Prompt Optimization with “Gradient Descent” and Beam Search](https://md.research.elamur.ai/free/en/papers/pryzant-2023-automatic-prompt-optimization-gradient-descent/)**Reid Pryzant, Dan Iter, Jerry Li et al.*187 citations · our summary*
20. **[RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation ↗](https://aclanthology.org/2023.emnlp-main.151/)**Fengji Zhang, Bei Chen, Yue Zhang et al.*164 citations*
21. **[GPT-RE: In-context Learning for Relation Extraction using Large Language Models](https://md.research.elamur.ai/free/en/papers/wan-2023-gpt-re-context-learning-relation/)**Zhen Wan, Fei Cheng, Zhuoyuan Mao et al.*162 citations · our summary*
22. **[Reasoning with Language Model is Planning with World Model ↗](https://aclanthology.org/2023.emnlp-main.507/)**Shibo Hao, Yi Gu, Haodi Ma et al.*158 citations*
23. **[LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models](https://md.research.elamur.ai/free/en/papers/jiang-2023-llmlingua-compressing-prompts-accelerated-inference/)**Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin et al.*154 citations · our summary*
24. **[Towards Interpretable Mental Health Analysis with Large Language Models ↗](https://aclanthology.org/2023.emnlp-main.370/)**Kailai Yang, Shaoxiong Ji, Tianlin Zhang et al.*153 citations*
25. **[Document-Level Machine Translation with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-document-level-machine-translation-large/)**Longyue Wang, Chenyang Lyu, Tianbo Ji et al.*150 citations · our summary*
26. **[NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails ↗](https://aclanthology.org/2023.emnlp-demo.40/)**Traian Rebedea, Razvan Dinu, Makesh Narsimhan Sreedhar et al. · System Demonstrations*136 citations*
27. **[Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations](https://md.research.elamur.ai/free/en/papers/li-2023-synthetic-data-generation-large-language/)**Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu et al.*134 citations · our summary*
28. **[Enhancing Chat Language Models by Scaling High-quality Instructional Conversations ↗](https://aclanthology.org/2023.emnlp-main.183/)**Ning Ding, Yulin Chen, Bokai Xu et al.*125 citations*
29. **[Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data](https://md.research.elamur.ai/free/en/papers/xu-2023-baize-open-source-chat-model/)**Canwen Xu, Daya Guo, Nan Duan et al.*123 citations · our summary*
30. **[API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs](https://md.research.elamur.ai/free/en/papers/li-2023-api-bank-comprehensive-benchmark-tool/)**Minghao Li, Yingxiu Zhao, Bowen Yu et al.*118 citations · our summary*
31. **[MEGA: Multilingual Evaluation of Generative AI ↗](https://aclanthology.org/2023.emnlp-main.258/)**Kabir Ahuja, Harshita Diddee, Rishav Hada et al.*116 citations*
32. **[Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback ↗](https://aclanthology.org/2023.emnlp-main.330/)**Katherine Tian, Eric Mitchell, Allan Zhou et al.*113 citations*
33. **[The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations](https://md.research.elamur.ai/free/en/papers/rawte-2023-troubling-emergence-hallucination-large-language/)**Vipula Rawte, Swagata Chakraborty, Agnibh Pathak et al.*110 citations · our summary*
34. **[Editing Large Language Models: Problems, Methods, and Opportunities ↗](https://aclanthology.org/2023.emnlp-main.632/)**Yunzhi Yao, Peng Wang, Bozhong Tian et al.*107 citations*
35. **[CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code ↗](https://aclanthology.org/2023.emnlp-main.859/)**Shuyan Zhou, Uri Alon, Sumit Agarwal et al.*92 citations*
36. **[Text Embeddings Reveal (Almost) As Much As Text](https://md.research.elamur.ai/free/en/papers/morris-2023-text-embeddings-reveal-almost-as/)**John Morris, Volodymyr Kuleshov, Vitaly Shmatikov et al.*90 citations · our summary*
37. **[Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks ↗](https://aclanthology.org/2023.emnlp-industry.39/)**Xianzhi Li, Samuel Chan, Xiaodan Zhu et al. · Industry Track*86 citations*
38. **[Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4](https://md.research.elamur.ai/free/en/papers/chang-2023-speak-memory-archaeology-books-known/)**Kent K. Chang, Mackenzie Cramer, Sandeep Soni et al.*83 citations · our summary*
39. **[Compressing Context to Enhance Inference Efficiency of Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2023-compressing-context-enhance-inference-efficiency/)**Yucheng Li, Bo Dong, Frank Guerin et al.*82 citations · our summary*
40. **[Don't Trust ChatGPT when your Question is not in English: A Study of Multilingual Abilities and Types of LLMs ↗](https://aclanthology.org/2023.emnlp-main.491/)**Xiang Zhang, Senyu Li, Bradley Hauer et al.*81 citations*
41. **[Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models ↗](https://aclanthology.org/2023.emnlp-main.621/)**Xiaolei Wang, Xinyu Tang, Xin Zhao et al.*81 citations*
42. **[Harnessing LLMs for Temporal Data - A Study on Explainable Financial Time Series Forecasting ↗](https://aclanthology.org/2023.emnlp-industry.69/)**Xinli Yu, Zheng Chen, Yanbin Lu · Industry Track*80 citations*
43. **[Theory of Mind for Multi-Agent Collaboration via Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2023-theory-mind-multi-agent-collaboration/)**Huao Li, Yu Chong, Simon Stepputtis et al.*79 citations · our summary*
44. **[Mirages. On Anthropomorphism in Dialogue Systems ↗](https://aclanthology.org/2023.emnlp-main.290/)**Gavin Abercrombie, Amanda Cercas Curry, Tanvi Dinkar et al.*77 citations*
45. **[Dr ChatGPT tell me what I want to hear: How different prompts impact health answer correctness ↗](https://aclanthology.org/2023.emnlp-main.928/)**Bevan Koopman, Guido Zuccon*72 citations*
46. **[Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimoda Emotion Recognition ↗](https://aclanthology.org/2023.emnlp-main.996/)**Dongyuan Li, Yusong Wang, Kotaro Funakoshi et al.*70 citations*
47. **[SciRepEval: A Multi-Format Benchmark for Scientific Document Representations ↗](https://aclanthology.org/2023.emnlp-main.338/)**Amanpreet Singh, Mike D'Arcy, Arman Cohan et al.*70 citations*
48. **[Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning ↗](https://aclanthology.org/2023.emnlp-main.674/)**Saibo Geng, Martin Josifoski, Maxime Peyrard et al.*69 citations*
49. **[InsightPilot: An LLM-Empowered Automated Data Exploration System ↗](https://aclanthology.org/2023.emnlp-demo.31/)**Pingchuan Ma, Rui Ding, Shuai Wang et al. · System Demonstrations*69 citations*
50. **[NL2TL: Transforming Natural Languages to Temporal Logics using Large Language Models ↗](https://aclanthology.org/2023.emnlp-main.985/)**Yongchao Chen, Rujul Gandhi, Yang Zhang et al.*69 citations*
51. **[Consistency Analysis of ChatGPT ↗](https://aclanthology.org/2023.emnlp-main.991/)**Myeongjun Jang, Thomas Lukasiewicz*67 citations*
52. **[DetGPT: Detect What You Need via Reasoning ↗](https://aclanthology.org/2023.emnlp-main.876/)**Renjie Pi, Jiahui Gao, Shizhe Diao et al.*62 citations*
53. **[Empirical Study of Zero-Shot NER with ChatGPT ↗](https://aclanthology.org/2023.emnlp-main.493/)**Tingyu Xie, Qi Li, Jian Zhang et al.*62 citations*
54. **[SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization](https://md.research.elamur.ai/free/en/papers/kim-2023-soda-million-scale-dialogue-distillation/)**Hyunwoo Kim, Jack Hessel, Liwei Jiang et al.*61 citations · our summary*
55. **[UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning](https://md.research.elamur.ai/free/en/papers/masry-2023-unichart-universal-vision-language-pretrained/)**Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do et al.*61 citations · our summary*
56. **[LLM-powered Data Augmentation for Enhanced Cross-lingual Performance ↗](https://aclanthology.org/2023.emnlp-main.44/)**Chenxi Whitehouse, Monojit Choudhury, Alham Fikri Aji*60 citations*
57. **[Sparse Low-rank Adaptation of Pre-trained Language Models ↗](https://aclanthology.org/2023.emnlp-main.252/)**Ning Ding, Xingtai Lv, Qiaosen Wang et al.*59 citations*
58. **[GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP](https://md.research.elamur.ai/free/en/papers/khondaker-2023-gptaraeval-comprehensive-evaluation-chatgpt-arabic/)**Md Tawkat Islam Khondaker, Abdul Waheed, El Moatez Billah Nagoudi et al.*58 citations · our summary*
59. **[ClusterLLM: Large Language Models as a Guide for Text Clustering ↗](https://aclanthology.org/2023.emnlp-main.858/)**Yuwei Zhang, Zihan Wang, Jingbo Shang*57 citations*
60. **[LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers](https://md.research.elamur.ai/free/en/papers/olausson-2023-linc-neurosymbolic-approach-logical-reasoning/)**Theo Olausson, Alex Gu, Ben Lipkin et al.*56 citations · our summary*
61. **[Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?](https://md.research.elamur.ai/free/en/papers/chen-2023-can-pre-trained-vision-language/)**Yang Chen, Hexiang Hu, Yi Luan et al.*55 citations · our summary*
62. **[BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations ↗](https://aclanthology.org/2023.emnlp-main.70/)**Qizhi Pei, Wei Zhang, Jinhua Zhu et al.*54 citations*
63. **[LM vs LM: Detecting Factual Errors via Cross Examination](https://md.research.elamur.ai/free/en/papers/cohen-2023-lm-vs-lm-detecting-factual/)**Roi Cohen, May Hamri, Mor Geva et al.*54 citations · our summary*
64. **[Can We Edit Factual Knowledge by In-Context Learning? ↗](https://aclanthology.org/2023.emnlp-main.296/)**Ce Zheng, Lei Li, Qingxiu Dong et al.*52 citations*
65. **[Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction ↗](https://aclanthology.org/2023.emnlp-main.96/)**Martin Josifoski, Marija Sakota, Maxime Peyrard et al.*52 citations*
66. **[Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models ↗](https://aclanthology.org/2023.emnlp-main.757/)**Shuai Zhao, Jinming Wen, Anh Luu et al.*52 citations*
67. **[Unlearn What You Want to Forget: Efficient Unlearning for LLMs](https://md.research.elamur.ai/free/en/papers/chen-2023-unlearn-what-you-want-forget/)**Jiaao Chen, Diyi Yang*52 citations · our summary*
68. **[Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models ↗](https://aclanthology.org/2023.emnlp-main.468/)**Daman Arora, Himanshu Singh, Mausam*51 citations*
69. **[Kandinsky: An Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion ↗](https://aclanthology.org/2023.emnlp-demo.25/)**Anton Razzhigaev, Arseniy Shakhmatov, Anastasia Maltseva et al. · System Demonstrations*51 citations*
70. **[The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning](https://md.research.elamur.ai/free/en/papers/kim-2023-cot-collection-improving-zero-shot/)**Seungone Kim, Se Joo, Doyoung Kim et al.*51 citations · our summary*
71. **[Dissecting Recall of Factual Associations in Auto-Regressive Language Models ↗](https://aclanthology.org/2023.emnlp-main.751/)**Mor Geva, Jasmijn Bastings, Katja Filippova et al.*50 citations*
72. **[Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization ↗](https://aclanthology.org/2023.emnlp-main.488/)**Tianshi Che, Ji Liu, Yang Zhou et al.*50 citations*
73. **[LLM-FP4: 4-Bit Floating-Point Quantized Transformers ↗](https://aclanthology.org/2023.emnlp-main.39/)**Shih-yang Liu, Zechun Liu, Xijie Huang et al.*50 citations*
74. **[MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions ↗](https://aclanthology.org/2023.emnlp-main.971/)**Zexuan Zhong, Zhengxuan Wu, Christopher Manning et al.*50 citations*
75. **[Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling ↗](https://aclanthology.org/2023.emnlp-main.102/)**Xiuying Wei, Yunchen Zhang, Yuhang Li et al.*49 citations*
76. **[Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration ↗](https://aclanthology.org/2023.emnlp-main.740/)**Yiquan Wu, Siying Zhou, Yifei Liu et al.*49 citations*
77. **[What's “up” with vision-language models? Investigating their struggle with spatial reasoning ↗](https://aclanthology.org/2023.emnlp-main.568/)**Amita Kamath, Jack Hessel, Kai-Wei Chang*49 citations*
78. **[Adapting Language Models to Compress Contexts](https://md.research.elamur.ai/free/en/papers/chevalier-2023-adapting-language-models-compress-contexts/)**Alexis Chevalier, Alexander Wettig, Anirudh Ajith et al.*48 citations · our summary*
79. **[M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis ↗](https://aclanthology.org/2023.emnlp-main.561/)**Fei Zhao, Chunhui Li, Zhen Wu et al.*48 citations*
80. **[Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning ↗](https://aclanthology.org/2023.emnlp-main.36/)**Dong-Ho Lee, Kian Ahrabian, Woojeong Jin et al.*47 citations*
81. **[CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation](https://md.research.elamur.ai/free/en/papers/li-2023-coannotating-uncertainty-guided-work-allocation/)**Minzhi Li, Taiwei Shi, Caleb Ziems et al.*46 citations · our summary*
82. **[Exploring Chain of Thought Style Prompting for Text-to-SQL ↗](https://aclanthology.org/2023.emnlp-main.327/)**Chang-Yu Tai, Ziru Chen, Tianshu Zhang et al.*46 citations*
83. **[Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition ↗](https://aclanthology.org/2023.emnlp-main.302/)**Sander Schulhoff, Jeremy Pinto, Anaum Khan et al.*46 citations*
84. **[Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction ↗](https://aclanthology.org/2023.emnlp-main.937/)**Cam-Van Thi Nguyen, Anh-Tuan Mai, The-Son Le et al.*45 citations*
85. **[Poisoning Retrieval Corpora by Injecting Adversarial Passages ↗](https://aclanthology.org/2023.emnlp-main.849/)**Zexuan Zhong, Ziqing Huang, Alexander Wettig et al.*45 citations*
86. **[Batch Prompting: Efficient Inference with Large Language Model APIs ↗](https://aclanthology.org/2023.emnlp-industry.74/)**Zhoujun Cheng, Jungo Kasai, Tao Yu · Industry Track*42 citations*
87. **[CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools ↗](https://aclanthology.org/2023.emnlp-demo.3/)**Jingwei Ni, Julia Bingler, Chiara Colesanti-Senni et al. · System Demonstrations*42 citations*
88. **[Prompting is not a substitute for probability measurements in large language models](https://md.research.elamur.ai/free/en/papers/hu-2023-prompting-is-not-substitute-probability/)**Jennifer Hu, Roger Levy*42 citations · our summary*
89. **[XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models](https://md.research.elamur.ai/free/en/papers/liang-2023-xlm-v-overcoming-vocabulary-bottleneck/)**Davis Liang, Hila Gonen, Yuning Mao et al.*42 citations · our summary*
90. **[Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models](https://md.research.elamur.ai/free/en/papers/ahia-2023-do-all-languages-cost-same/)**Orevaoghene Ahia, Sachin Kumar, Hila Gonen et al.*40 citations · our summary*
91. **[MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter ↗](https://aclanthology.org/2023.emnlp-main.966/)**Zhiyuan Liu, Sihang Li, Yanchen Luo et al.*40 citations*
92. **[We're Afraid Language Models Aren't Modeling Ambiguity](https://md.research.elamur.ai/free/en/papers/liu-2023-we-re-afraid-language-models/)**Alisa Liu, Zhaofeng Wu, Julian Michael et al.*40 citations · our summary*
93. **[AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages](https://md.research.elamur.ai/free/en/papers/muhammad-2023-afrisenti-twitter-sentiment-analysis-benchmark/)**Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele et al.*39 citations · our summary*
94. **[Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering ↗](https://aclanthology.org/2023.emnlp-industry.29/)**Fangkai Yang, Pu Zhao, Zezhong Wang et al. · Industry Track*39 citations*
95. **[INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback](https://md.research.elamur.ai/free/en/papers/xu-2023-instructscore-explainable-text-generation-evaluation/)**Wenda Xu, Danqing Wang, Liangming Pan et al.*39 citations · our summary*
96. **[DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models ↗](https://aclanthology.org/2023.emnlp-main.174/)**Xinwei Wu, Junzhuo Li, Minghui Xu et al.*38 citations*
97. **[Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark ↗](https://aclanthology.org/2023.emnlp-main.699/)**Minje Choi, Jiaxin Pei, Sagar Kumar et al.*38 citations*
98. **[CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations ↗](https://aclanthology.org/2023.emnlp-main.669/)**Myra Cheng, Tiziano Piccardi, Diyi Yang*37 citations*
99. **[Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models ↗](https://aclanthology.org/2023.emnlp-main.335/)**Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto*37 citations*
100. **[Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4 ↗](https://aclanthology.org/2023.emnlp-main.395/)**Kellin Pelrine, Anne Imouza, Camille Thibault et al.*37 citations*

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