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# Findings of the Association for Computational Linguistics 2023: all accepted papers

2,194 papers · page 1 of 22 · the most cited first · [← Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/)

**1** [2](https://md.research.elamur.ai/free/en/venues/findings/2023/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/findings/2023/papers/page/10/) … [22](https://md.research.elamur.ai/free/en/venues/findings/2023/papers/page/22/) [next →](https://md.research.elamur.ai/free/en/venues/findings/2023/papers/page/2/)

1. **[Towards Reasoning in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/huang-2023-reasoning-large-language-models-survey/)**Jie Huang, Kevin Chen-Chuan Chang*409 citations · our summary*
2. **[RWKV: Reinventing RNNs for the Transformer Era ↗](https://aclanthology.org/2023.findings-emnlp.936/)**Bo Peng, Eric Alcaide, Quentin Anthony et al.*367 citations*
3. **[Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes](https://md.research.elamur.ai/free/en/papers/hsieh-2023-distilling-step-step-outperforming-larger/)**Cheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh et al.*307 citations · our summary*
4. **[Measuring and Narrowing the Compositionality Gap in Language Models ↗](https://aclanthology.org/2023.findings-emnlp.378/)**Ofir Press, Muru Zhang, Sewon Min et al.*277 citations*
5. **[Towards Mitigating LLM Hallucination via Self Reflection](https://md.research.elamur.ai/free/en/papers/ji-2023-mitigating-llm-hallucination-self-reflection/)**Ziwei Ji, Tiezheng Yu, Yan Xu et al.*253 citations · our summary*
6. **[Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them](https://md.research.elamur.ai/free/en/papers/suzgun-2023-challenging-big-bench-tasks-whether/)**Mirac Suzgun, Nathan Scales, Nathanael Schärli et al.*243 citations · our summary*
7. **[ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning](https://md.research.elamur.ai/free/en/papers/lai-2023-chatgpt-beyond-english-comprehensive-evaluation/)**Viet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh et al.*228 citations · our summary*
8. **[HuatuoGPT, Towards Taming Language Model to Be a Doctor](https://md.research.elamur.ai/free/en/papers/zhang-2023-huatuogpt-taming-language-model-be/)**Hongbo Zhang, Junying Chen, Feng Jiang et al.*206 citations · our summary*
9. **[Text Classification via Large Language Models](https://md.research.elamur.ai/free/en/papers/sun-2023-text-classification-large-language-models/)**Xiaofei Sun, Xiaoya Li, Jiwei Li et al.*199 citations · our summary*
10. **[Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy](https://md.research.elamur.ai/free/en/papers/shao-2023-enhancing-retrieval-augmented-large-language/)**Zhihong Shao, Yeyun Gong, Yelong Shen et al.*192 citations · our summary*
11. **[Multi-step Jailbreaking Privacy Attacks on ChatGPT](https://md.research.elamur.ai/free/en/papers/li-2023-multi-step-jailbreaking-privacy-attacks/)**Haoran Li, Dadi Guo, Wei Fan et al.*187 citations · our summary*
12. **[SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechgpt-empowering-large-language-models/)**Dong Zhang, Shimin Li, Xin Zhang et al.*187 citations · our summary*
13. **[Discovering Language Model Behaviors with Model-Written Evaluations ↗](https://aclanthology.org/2023.findings-acl.847/)**Ethan Perez, Sam Ringer, Kamile Lukosiute et al.*183 citations*
14. **[Toxicity in chatgpt: Analyzing persona-assigned language models](https://md.research.elamur.ai/free/en/papers/deshpande-2023-toxicity-chatgpt-analyzing-persona-assigned/)**Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit et al.*170 citations · our summary*
15. **[PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain? ↗](https://aclanthology.org/2023.findings-eacl.88/)**Sedigheh Eslami, Christoph Meinel, Gerard de Melo*167 citations*
16. **[The Internal State of an LLM Knows When It's Lying](https://md.research.elamur.ai/free/en/papers/azaria-2023-internal-state-llm-knows-when/)**Amos Azaria, Tom Mitchell*164 citations · our summary*
17. **[Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers](https://md.research.elamur.ai/free/en/papers/dai-2023-why-can-gpt-learn-context/)**Damai Dai, Yutao Sun, Li Dong et al.*147 citations · our summary*
18. **[Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning](https://md.research.elamur.ai/free/en/papers/pan-2023-logic-lm-empowering-large-language/)**Liangming Pan, Alon Albalak, Xinyi Wang et al.*143 citations · our summary*
19. **[Evaluating Verifiability in Generative Search Engines](https://md.research.elamur.ai/free/en/papers/liu-2023-evaluating-verifiability-generative-search-engines/)**Nelson Liu, Tianyi Zhang, Percy Liang*137 citations · our summary*
20. **[Sources of Hallucination by Large Language Models on Inference Tasks](https://md.research.elamur.ai/free/en/papers/mckenna-2023-sources-hallucination-large-language-models/)**Nick McKenna, Tianyi Li, Liang Cheng et al.*136 citations · our summary*
21. **[“Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference Letters](https://md.research.elamur.ai/free/en/papers/wan-2023-kelly-is-warm-person-joseph/)**Yixin Wan, George Pu, Jiao Sun et al.*136 citations · our summary*
22. **[One Embedder, Any Task: Instruction-Finetuned Text Embeddings ↗](https://aclanthology.org/2023.findings-acl.71/)**Hongjin Su, Weijia Shi, Jungo Kasai et al.*131 citations*
23. **[Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!](https://md.research.elamur.ai/free/en/papers/ma-2023-large-language-model-is-not/)**Yubo Ma, Yixin Cao, Yong Hong et al.*113 citations · our summary*
24. **[Large Language Models are Better Reasoners with Self-Verification](https://md.research.elamur.ai/free/en/papers/weng-2023-large-language-models-are-better/)**Yixuan Weng, Minjun Zhu, Fei Xia et al.*107 citations · our summary*
25. **[LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis ↗](https://aclanthology.org/2023.findings-emnlp.669/)**Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku*106 citations*
26. **[Demystifying Prompts in Language Models via Perplexity Estimation ↗](https://aclanthology.org/2023.findings-emnlp.679/)**Hila Gonen, Srini Iyer, Terra Blevins et al.*104 citations*
27. **[Large Language Models are few(1)-shot Table Reasoners](https://md.research.elamur.ai/free/en/papers/chen-2023-large-language-models-are-few/)**Wenhu Chen*97 citations · our summary*
28. **[A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets](https://md.research.elamur.ai/free/en/papers/laskar-2023-systematic-study-comprehensive-evaluation-chatgpt/)**Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman et al.*91 citations · our summary*
29. **[FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ↗](https://aclanthology.org/2023.findings-acl.632/)**Zhuo Zhang, Yuanhang Yang, Yong Dai et al.*90 citations*
30. **[Membership Inference Attacks against Language Models via Neighbourhood Comparison](https://md.research.elamur.ai/free/en/papers/mattern-2023-membership-inference-attacks-against-language/)**Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin et al.*89 citations · our summary*
31. **[KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion ↗](https://aclanthology.org/2023.findings-emnlp.580/)**Yanbin Wei, Qiushi Huang, Yu Zhang et al.*84 citations*
32. **[Is GPT-4 a Good Data Analyst? ↗](https://aclanthology.org/2023.findings-emnlp.637/)**Liying Cheng, Xingxuan Li, Lidong Bing*81 citations*
33. **[NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark](https://md.research.elamur.ai/free/en/papers/sainz-2023-nlp-evaluation-trouble-need-measure/)**Oscar Sainz, Jon Campos, Iker García-Ferrero et al.*81 citations · our summary*
34. **[On the Risk of Misinformation Pollution with Large Language Models](https://md.research.elamur.ai/free/en/papers/pan-2023-risk-misinformation-pollution-large-language/)**Yikang Pan, Liangming Pan, Wenhu Chen et al.*81 citations · our summary*
35. **[Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation](https://md.research.elamur.ai/free/en/papers/mosbach-2023-few-shot-fine-tuning-vs/)**Marius Mosbach, Tiago Pimentel, Shauli Ravfogel et al.*79 citations · our summary*
36. **[Towards Making the Most of ChatGPT for Machine Translation](https://md.research.elamur.ai/free/en/papers/peng-2023-making-most-chatgpt-machine-translation/)**Keqin Peng, Liang Ding, Qihuang Zhong et al.*78 citations · our summary*
37. **[Evaluating the Factual Consistency of Large Language Models Through News Summarization ↗](https://aclanthology.org/2023.findings-acl.322/)**Derek Tam, Anisha Mascarenhas, Shiyue Zhang et al.*77 citations*
38. **[Orthogonal Subspace Learning for Language Model Continual Learning ↗](https://aclanthology.org/2023.findings-emnlp.715/)**Xiao Wang, Tianze Chen, Qiming Ge et al.*76 citations*
39. **[SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations ↗](https://aclanthology.org/2023.findings-emnlp.83/)**Yirong Chen, Xiaofen Xing, Jingkai Lin et al.*76 citations*
40. **[DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text](https://md.research.elamur.ai/free/en/papers/su-2023-detectllm-leveraging-log-rank-information/)**Jinyan Su, Terry Zhuo, Di Wang et al.*75 citations · our summary*
41. **[Distilling Reasoning Capabilities into Smaller Language Models](https://md.research.elamur.ai/free/en/papers/shridhar-2023-distilling-reasoning-capabilities-into-smaller/)**Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan*73 citations · our summary*
42. **[UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model](https://md.research.elamur.ai/free/en/papers/ye-2023-ureader-universal-ocr-free-visually/)**Jiabo Ye, Anwen Hu, Haiyang Xu et al.*73 citations · our summary*
43. **[AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/2023.findings-acl.519/)**Ru Zhou, Wenya Guo, Xumeng Liu et al.*72 citations*
44. **[Do Large Language Models Know What They Don't Know? ↗](https://aclanthology.org/2023.findings-acl.551/)**Zhangyue Yin, Qiushi Sun, Qipeng Guo et al.*72 citations*
45. **[Extractive Summarization via ChatGPT for Faithful Summary Generation ↗](https://aclanthology.org/2023.findings-emnlp.214/)**Haopeng Zhang, Xiao Liu, Jiawei Zhang*71 citations*
46. **[In-context Examples Selection for Machine Translation](https://md.research.elamur.ai/free/en/papers/agrawal-2023-context-examples-selection-machine-translation/)**Sweta Agrawal, Chunting Zhou, Mike Lewis et al.*71 citations · our summary*
47. **[“Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors ↗](https://aclanthology.org/2023.findings-acl.426/)**Zhiying Jiang, Matthew Yang, Mikhail Tsirlin et al.*71 citations*
48. **[Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting](https://md.research.elamur.ai/free/en/papers/huang-2023-all-languages-created-equal-llms/)**Haoyang Huang, Tianyi Tang, Dongdong Zhang et al.*70 citations · our summary*
49. **[Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study](https://md.research.elamur.ai/free/en/papers/chen-2023-exploring-use-large-language-models/)**Yi Chen, Rui Wang, Haiyun Jiang et al. · IJCNLP-AACL 2023 (Findings*68 citations · our summary*
50. **[DePlot: One-shot visual language reasoning by plot-to-table translation](https://md.research.elamur.ai/free/en/papers/liu-2023-deplot-one-shot-visual-language/)**Fangyu Liu, Julian Eisenschlos, Francesco Piccinno et al.*67 citations · our summary*
51. **[Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors](https://md.research.elamur.ai/free/en/papers/zhang-2023-aligning-instruction-tasks-unlocks-large/)**Kai Zhang, Bernal Jimenez Gutierrez, Yu Su*66 citations · our summary*
52. **[Retrieving Multimodal Information for Augmented Generation: A Survey ↗](https://aclanthology.org/2023.findings-emnlp.314/)**Ruochen Zhao, Hailin Chen, Weishi Wang et al.*64 citations*
53. **[A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing ↗](https://aclanthology.org/2023.findings-emnlp.966/)**Carlos Gómez-Rodríguez, Paul Williams*62 citations*
54. **[Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation ↗](https://aclanthology.org/2023.findings-emnlp.743/)**Jinglong Gao, Xiao Ding, Bing Qin et al.*61 citations*
55. **[Self-Knowledge Guided Retrieval Augmentation for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-self-knowledge-guided-retrieval-augmentation/)**Yile Wang, Peng Li, Maosong Sun et al.*61 citations · our summary*
56. **[Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data](https://md.research.elamur.ai/free/en/papers/shum-2023-automatic-prompt-augmentation-selection-chain/)**Kashun Shum, Shizhe Diao, Tong Zhang*60 citations · our summary*
57. **[LLMaAA: Making Large Language Models as Active Annotators ↗](https://aclanthology.org/2023.findings-emnlp.872/)**Ruoyu Zhang, Yanzeng Li, Yongliang Ma et al.*57 citations*
58. **[AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities ↗](https://aclanthology.org/2023.findings-acl.552/)**Zhongzhi Chen, Guang Liu, Bo-Wen Zhang et al.*56 citations*
59. **[Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting](https://md.research.elamur.ai/free/en/papers/chen-2023-dipping-plms-sauce-bridging-structure/)**Chen Chen, Yufei Wang, Aixin Sun et al.*56 citations · our summary*
60. **[MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System](https://md.research.elamur.ai/free/en/papers/qin-2023-mmsd2-0-reliable-multi-modal/)**Libo Qin, Shijue Huang, Qiguang Chen et al.*56 citations · our summary*
61. **[SummIt: Iterative Text Summarization via ChatGPT ↗](https://aclanthology.org/2023.findings-emnlp.714/)**Haopeng Zhang, Xiao Liu, Jiawei Zhang*55 citations*
62. **[Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search ↗](https://aclanthology.org/2023.findings-emnlp.86/)**Kelong Mao, Zhicheng Dou, Fengran Mo et al.*53 citations*
63. **[Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration](https://md.research.elamur.ai/free/en/papers/deng-2023-prompting-evaluating-large-language-models/)**Yang Deng, Lizi Liao, Liang Chen et al.*53 citations · our summary*
64. **[Scaling Vision-Language Models with Sparse Mixture of Experts ↗](https://aclanthology.org/2023.findings-emnlp.758/)**Sheng Shen, Zhewei Yao, Chunyuan Li et al.*53 citations*
65. **[ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought ↗](https://aclanthology.org/2023.findings-emnlp.227/)**Hanchong Zhang, Ruisheng Cao, Lu Chen et al.*51 citations*
66. **[Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate ↗](https://aclanthology.org/2023.findings-emnlp.795/)**Boshi Wang, Xiang Yue, Huan Sun*51 citations*
67. **[DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis ↗](https://aclanthology.org/2023.findings-acl.849/)**Bobo Li, Hao Fei, Fei Li et al.*51 citations*
68. **[Prompted Opinion Summarization with GPT-3.5 ↗](https://aclanthology.org/2023.findings-acl.591/)**Adithya Bhaskar, Alex Fabbri, Greg Durrett*51 citations*
69. **[Chain-of-Thought Reasoning in Tabular Language Models ↗](https://aclanthology.org/2023.findings-emnlp.734/)**Mingyu Zheng, Hao Yang, Wenbin Jiang et al.*50 citations*
70. **[MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition ↗](https://aclanthology.org/2023.findings-emnlp.134/)**Besnik Fetahu, Zhiyu Chen, Sudipta Kar et al.*50 citations*
71. **[Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-models-are-not/)**Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen et al.*49 citations · our summary*
72. **[VIP5: Towards Multimodal Foundation Models for Recommendation ↗](https://aclanthology.org/2023.findings-emnlp.644/)**Shijie Geng, Juntao Tan, Shuchang Liu et al.*49 citations*
73. **[AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation ↗](https://aclanthology.org/2023.findings-acl.99/)**Chujie Zheng, Sahand Sabour, Jiaxin Wen et al.*48 citations*
74. **[How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval](https://md.research.elamur.ai/free/en/papers/lin-2023-how-train-your-dragon-diverse/)**Sheng-Chieh Lin, Akari Asai, Minghan Li et al.*48 citations · our summary*
75. **[LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain](https://md.research.elamur.ai/free/en/papers/niklaus-2023-lextreme-multi-lingual-multi-task/)**Joel Niklaus, Veton Matoshi, Pooja Rani et al.*48 citations · our summary*
76. **[Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion ↗](https://aclanthology.org/2023.findings-acl.493/)**Wenjie Xu, Ben Liu, Miao Peng et al.*48 citations*
77. **[ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis ↗](https://aclanthology.org/2023.findings-acl.860/)**Yakun Yu, Mingjun Zhao, Shi-ang Qi et al.*46 citations*
78. **[Context-faithful Prompting for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2023-context-faithful-prompting-large-language/)**Wenxuan Zhou, Sheng Zhang, Hoifung Poon et al.*46 citations · our summary*
79. **[Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies ↗](https://aclanthology.org/2023.findings-emnlp.996/)**Linyong Nan, Yilun Zhao, Weijin Zou et al.*46 citations*
80. **[Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge ↗](https://aclanthology.org/2023.findings-emnlp.184/)**Jinyuan Li, Han Li, Zhuo Pan et al.*46 citations*
81. **[TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks ↗](https://aclanthology.org/2023.findings-emnlp.946/)**Shubhra Kanti Karmaker Santu, Dongji Feng*46 citations*
82. **[VISTA: Visual-Textual Knowledge Graph Representation Learning ↗](https://aclanthology.org/2023.findings-emnlp.488/)**Jaejun Lee, Chanyoung Chung, Hochang Lee et al.*46 citations*
83. **[AVATAR: A Parallel Corpus for Java-Python Program Translation ↗](https://aclanthology.org/2023.findings-acl.143/)**Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty et al.*45 citations*
84. **[KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models ↗](https://aclanthology.org/2023.findings-emnlp.631/)**Jiho Kim, Yeonsu Kwon, Yohan Jo et al.*45 citations*
85. **[Large Language Models with Controllable Working Memory](https://md.research.elamur.ai/free/en/papers/li-2023-large-language-models-controllable-working/)**Daliang Li, Ankit Singh Rawat, Manzil Zaheer et al.*45 citations · our summary*
86. **[Can ChatGPT Assess Human Personalities? A General Evaluation Framework ↗](https://aclanthology.org/2023.findings-emnlp.84/)**Haocong Rao, Cyril Leung, Chunyan Miao*44 citations*
87. **[Complementary Explanations for Effective In-Context Learning](https://md.research.elamur.ai/free/en/papers/ye-2023-complementary-explanations-effective-context-learning/)**Xi Ye, Srinivasan Iyer, Asli Celikyilmaz et al.*44 citations · our summary*
88. **[Leveraging GPT-4 for Automatic Translation Post-Editing](https://md.research.elamur.ai/free/en/papers/raunak-2023-leveraging-gpt-4-automatic-translation/)**Vikas Raunak, Amr Sharaf, Yiren Wang et al.*44 citations · our summary*
89. **[Task-aware Retrieval with Instructions](https://md.research.elamur.ai/free/en/papers/asai-2023-task-aware-retrieval-instructions/)**Akari Asai, Timo Schick, Patrick Lewis et al.*44 citations · our summary*
90. **[Unlearning Bias in Language Models by Partitioning Gradients ↗](https://aclanthology.org/2023.findings-acl.375/)**Charles Yu, Sullam Jeoung, Anish Kasi et al.*44 citations*
91. **[Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance ↗](https://aclanthology.org/2023.findings-acl.817/)**Wanlong Liu, Shaohuan Cheng, Dingyi Zeng et al.*43 citations*
92. **[IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models ↗](https://aclanthology.org/2023.findings-emnlp.755/)**Haoxuan You, Rui Sun, Zhecan Wang et al.*43 citations*
93. **[NusaCrowd: Open Source Initiative for Indonesian NLP Resources ↗](https://aclanthology.org/2023.findings-acl.868/)**Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji et al.*43 citations*
94. **[ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation](https://md.research.elamur.ai/free/en/papers/lin-2023-toxicchat-unveiling-hidden-challenges-toxicity/)**Zi Lin, Zihan Wang, Yongqi Tong et al.*43 citations · our summary*
95. **[Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models ↗](https://aclanthology.org/2023.findings-emnlp.416/)**Haoran Wang, Kai Shu*42 citations*
96. **[In-Context Learning Creates Task Vectors](https://md.research.elamur.ai/free/en/papers/hendel-2023-context-learning-creates-task-vectors/)**Roee Hendel, Mor Geva, Amir Globerson*42 citations · our summary*
97. **[BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models ↗](https://aclanthology.org/2023.findings-acl.309/)**Shibo Hao, Bowen Tan, Kaiwen Tang et al.*41 citations*
98. **[Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate](https://md.research.elamur.ai/free/en/papers/xiong-2023-examining-inter-consistency-large-language/)**Kai Xiong, Xiao Ding, Yixin Cao et al.*41 citations · our summary*
99. **[Graph Reasoning for Question Answering with Triplet Retrieval ↗](https://aclanthology.org/2023.findings-acl.208/)**Shiyang Li, Yifan Gao, Haoming Jiang et al.*41 citations*
100. **[The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges ↗](https://aclanthology.org/2023.findings-acl.185/)**Genta Winata, Alham Fikri Aji, Zheng Xin Yong et al.*41 citations*

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