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

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

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101. **[Exploring the Effectiveness of Prompt Engineering for Legal Reasoning Tasks ↗](https://aclanthology.org/2023.findings-acl.858/)**Fangyi Yu, Lee Quartey, Frank Schilder*40 citations*
102. **[Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements ↗](https://aclanthology.org/2023.findings-emnlp.433/)**Yushan Qian, Weinan Zhang, Ting Liu*40 citations*
103. **[Long Document Summarization with Top-down and Bottom-up Inference ↗](https://aclanthology.org/2023.findings-eacl.94/)**Bo Pang, Erik Nijkamp, Wojciech Kryscinski et al.*40 citations*
104. **[Probing the “Creativity” of Large Language Models: Can models produce divergent semantic association? ↗](https://aclanthology.org/2023.findings-emnlp.858/)**Honghua Chen, Nai Ding*40 citations*
105. **[Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation](https://md.research.elamur.ai/free/en/papers/xia-2023-speculative-decoding-exploiting-speculative-execution/)**Heming Xia, Tao Ge, Peiyi Wang et al.*40 citations · our summary*
106. **[WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia ↗](https://aclanthology.org/2023.findings-emnlp.157/)**Sina Semnani, Violet Yao, Heidi Zhang et al.*40 citations*
107. **[A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models ↗](https://aclanthology.org/2023.findings-eacl.161/)**Mingyang Song, Yi Feng, Liping Jing*39 citations*
108. **[Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs ↗](https://aclanthology.org/2023.findings-emnlp.806/)**Hongru Wang, Rui Wang, Fei Mi et al.*38 citations*
109. **[Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt ↗](https://aclanthology.org/2023.findings-acl.735/)**Xiaocui Yang, Shi Feng, Daling Wang et al.*37 citations*
110. **[RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding ↗](https://aclanthology.org/2023.findings-acl.275/)**Ziwei Ji, Zihan Liu, Nayeon Lee et al.*37 citations*
111. **[Attention-Enhancing Backdoor Attacks Against BERT-based Models ↗](https://aclanthology.org/2023.findings-emnlp.716/)**Weimin Lyu, Songzhu Zheng, Lu Pang et al.*36 citations*
112. **[Fairness in Language Models Beyond English: Gaps and Challenges ↗](https://aclanthology.org/2023.findings-eacl.157/)**Krithika Ramesh, Sunayana Sitaram, Monojit Choudhury*36 citations*
113. **[MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems](https://md.research.elamur.ai/free/en/papers/macina-2023-mathdial-dialogue-tutoring-dataset-rich/)**Jakub Macina, Nico Daheim, Sankalan Chowdhury et al.*36 citations · our summary*
114. **[Ranking LLM-Generated Loop Invariants for Program Verification ↗](https://aclanthology.org/2023.findings-emnlp.614/)**Saikat Chakraborty, Shuvendu Lahiri, Sarah Fakhoury et al.*36 citations*
115. **[Attack Prompt Generation for Red Teaming and Defending Large Language Models ↗](https://aclanthology.org/2023.findings-emnlp.143/)**Boyi Deng, Wenjie Wang, Fuli Feng et al.*35 citations*
116. **[CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles ↗](https://aclanthology.org/2023.findings-emnlp.130/)**Shashank Sonkar, Naiming Liu, Debshila Mallick et al.*35 citations*
117. **[GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ↗](https://aclanthology.org/2023.findings-acl.806/)**Linyi Yang, Shuibai Zhang, Libo Qin et al.*34 citations*
118. **[Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking ↗](https://aclanthology.org/2023.findings-emnlp.590/)**Shengyao Zhuang, Bing Liu, Bevan Koopman et al.*34 citations*
119. **[Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence ↗](https://aclanthology.org/2023.findings-acl.881/)**Haoran Li, Mingshi Xu, Yangqiu Song*34 citations*
120. **[Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text ↗](https://aclanthology.org/2023.findings-acl.321/)**Zhun Yang, Adam Ishay, Joohyung Lee*33 citations*
121. **[DiffuSum: Generation Enhanced Extractive Summarization with Diffusion ↗](https://aclanthology.org/2023.findings-acl.828/)**Haopeng Zhang, Xiao Liu, Jiawei Zhang*33 citations*
122. **[Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting ↗](https://aclanthology.org/2023.findings-emnlp.398/)**Fanghua Ye, Meng Fang, Shenghui Li et al.*33 citations*
123. **[Prompted LLMs as Chatbot Modules for Long Open-domain Conversation ↗](https://aclanthology.org/2023.findings-acl.277/)**Gibbeum Lee, Volker Hartmann, Jongho Park et al.*33 citations*
124. **[Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?](https://md.research.elamur.ai/free/en/papers/tay-2023-scaling-laws-vs-model-architectures/)**Yi Tay, Mostafa Dehghani, Samira Abnar et al.*33 citations · our summary*
125. **[Understanding HTML with Large Language Models ↗](https://aclanthology.org/2023.findings-emnlp.185/)**Izzeddin Gur, Ofir Nachum, Yingjie Miao et al.*33 citations*
126. **[A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction ↗](https://aclanthology.org/2023.findings-emnlp.490/)**Ruihao Shui, Yixin Cao, Xiang Wang et al.*32 citations*
127. **[Automatic Evaluation of Attribution by Large Language Models ↗](https://aclanthology.org/2023.findings-emnlp.307/)**Xiang Yue, Boshi Wang, Ziru Chen et al.*32 citations*
128. **[Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variations and Hyperparameters ↗](https://aclanthology.org/2023.findings-emnlp.241/)**Manikanta Loya, Divya Sinha, Richard Futrell*32 citations*
129. **[Not The End of Story: An Evaluation of ChatGPT-Driven Vulnerability Description Mappings ↗](https://aclanthology.org/2023.findings-acl.229/)**Xin Liu, Yuan Tan, Zhenghang Xiao et al.*32 citations*
130. **[Two Heads Are Better Than One: Improving Fake News Video Detection by Correlating with Neighbors ↗](https://aclanthology.org/2023.findings-acl.756/)**Peng Qi, Yuyang Zhao, Yufeng Shen et al.*32 citations*
131. **[`Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion ↗](https://aclanthology.org/2023.findings-emnlp.465/)**Sourojit Ghosh, Aylin Caliskan*32 citations*
132. **[A Closer Look into Using Large Language Models for Automatic Evaluation ↗](https://aclanthology.org/2023.findings-emnlp.599/)**Cheng-Han Chiang, Hung-yi Lee*31 citations*
133. **[A Customized Text Sanitization Mechanism with Differential Privacy ↗](https://aclanthology.org/2023.findings-acl.355/)**Sai Chen, Fengran Mo, Yanhao Wang et al.*31 citations*
134. **[Active Learning Principles for In-Context Learning with Large Language Models ↗](https://aclanthology.org/2023.findings-emnlp.334/)**Katerina Margatina, Timo Schick, Nikolaos Aletras et al.*31 citations*
135. **[BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla ↗](https://aclanthology.org/2023.findings-eacl.54/)**Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad et al.*31 citations*
136. **[CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation ↗](https://aclanthology.org/2023.findings-emnlp.337/)**Weixiang Yan, Yuchen Tian, Yunzhe Li et al.*31 citations*
137. **[Ethical Reasoning over Moral Alignment: A Case and Framework for In-Context Ethical Policies in LLMs ↗](https://aclanthology.org/2023.findings-emnlp.892/)**Abhinav Rao, Aditi Khandelwal, Kumar Tanmay et al.*31 citations*
138. **[I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors ↗](https://aclanthology.org/2023.findings-acl.465/)**Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn et al.*31 citations*
139. **[Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning ↗](https://aclanthology.org/2023.findings-acl.284/)**Ruixiang Tang, Dehan Kong, Longtao Huang et al.*31 citations*
140. **[Large Language Models are Built-in Autoregressive Search Engines ↗](https://aclanthology.org/2023.findings-acl.167/)**Noah Ziems, Wenhao Yu, Zhihan Zhang et al.*31 citations*
141. **[PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection ↗](https://aclanthology.org/2023.findings-emnlp.216/)**Tao Yang, Tianyuan Shi, Fanqi Wan et al.*31 citations*
142. **[BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews ↗](https://aclanthology.org/2023.findings-acl.80/)**Mohsinul Kabir, Obayed Bin Mahfuz, Syed Rifat Raiyan et al.*30 citations*
143. **[ORCA: A Challenging Benchmark for Arabic Language Understanding](https://md.research.elamur.ai/free/en/papers/elmadany-2023-orca-challenging-benchmark-arabic-language/)**AbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed*30 citations · our summary*
144. **[Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models ↗](https://aclanthology.org/2023.findings-acl.502/)**Eddie Ungless, Bjorn Ross, Anne Lauscher*30 citations*
145. **[LLMDet: A Third Party Large Language Models Generated Text Detection Tool ↗](https://aclanthology.org/2023.findings-emnlp.139/)**Kangxi Wu, Liang Pang, Huawei Shen et al.*29 citations*
146. **[On the Relation between Sensitivity and Accuracy in In-Context Learning ↗](https://aclanthology.org/2023.findings-emnlp.12/)**Yanda Chen, Chen Zhao, Zhou Yu et al.*29 citations*
147. **[PLACES: Prompting Language Models for Social Conversation Synthesis](https://md.research.elamur.ai/free/en/papers/chen-2023-places-prompting-language-models-social/)**Maximillian Chen, Alexandros Papangelis, Chenyang Tao et al.*29 citations · our summary*
148. **[Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning ↗](https://aclanthology.org/2023.findings-emnlp.793/)**Zhuolin Yang, Wei Ping, Zihan Liu et al.*29 citations*
149. **[Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition ↗](https://aclanthology.org/2023.findings-emnlp.598/)**Yongqi Li, Yu Yu, Tieyun Qian*29 citations*
150. **[What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning](https://md.research.elamur.ai/free/en/papers/pan-2023-what-context-learning-learns-context/)**Jane Pan, Tianyu Gao, Howard Chen et al.*29 citations · our summary*
151. **[A Formal Perspective on Byte-Pair Encoding ↗](https://aclanthology.org/2023.findings-acl.38/)**Vilém Zouhar, Clara Meister, Juan Gastaldi et al.*28 citations*
152. **[Finding Support Examples for In-Context Learning](https://md.research.elamur.ai/free/en/papers/li-2023-finding-support-examples-context-learning/)**Xiaonan Li, Xipeng Qiu*28 citations · our summary*
153. **[ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding ↗](https://aclanthology.org/2023.findings-acl.406/)**Xuxin Cheng, Bowen Cao, Qichen Ye et al.*28 citations*
154. **[SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis ↗](https://aclanthology.org/2023.findings-ijcnlp.3/)**Imtiaz Karim, Kazi Samin Mubasshir, Mirza Masfiqur Rahman et al. · IJCNLP-AACL 2023 (Findings*28 citations*
155. **[Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data ↗](https://aclanthology.org/2023.findings-emnlp.474/)**Rumeng Li, Xun Wang, Hong Yu*28 citations*
156. **[A Thorough Examination on Zero-shot Dense Retrieval ↗](https://aclanthology.org/2023.findings-emnlp.1057/)**Ruiyang Ren, Yingqi Qu, Jing Liu et al.*27 citations*
157. **[AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models ↗](https://aclanthology.org/2023.findings-eacl.153/)**Alexandra Chronopoulou, Matthew Peters, Alexander Fraser et al.*27 citations*
158. **[Aerial Vision-and-Dialog Navigation ↗](https://aclanthology.org/2023.findings-acl.190/)**Yue Fan, Winson Chen, Tongzhou Jiang et al.*27 citations*
159. **[An Effective Deployment of Contrastive Learning in Multi-label Text Classification ↗](https://aclanthology.org/2023.findings-acl.556/)**Nankai Lin, Guanqiu Qin, Gang Wang et al.*27 citations*
160. **[ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models ↗](https://aclanthology.org/2023.findings-emnlp.985/)**Zhipeng Chen, Kun Zhou, Beichen Zhang et al.*27 citations*
161. **[DP-BART for Privatized Text Rewriting under Local Differential Privacy ↗](https://aclanthology.org/2023.findings-acl.874/)**Timour Igamberdiev, Ivan Habernal*27 citations*
162. **[Distilling ChatGPT for Explainable Automated Student Answer Assessment ↗](https://aclanthology.org/2023.findings-emnlp.399/)**Jiazheng Li, Lin Gui, Yuxiang Zhou et al.*27 citations*
163. **[EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning ↗](https://aclanthology.org/2023.findings-acl.873/)**Tiannan Wang, Wangchunshu Zhou, Yan Zeng et al.*27 citations*
164. **[PAL: Persona-Augmented Emotional Support Conversation Generation ↗](https://aclanthology.org/2023.findings-acl.34/)**Jiale Cheng, Sahand Sabour, Hao Sun et al.*27 citations*
165. **[The language of prompting: What linguistic properties make a prompt successful? ↗](https://aclanthology.org/2023.findings-emnlp.618/)**Alina Leidinger, Robert van Rooij, Ekaterina Shutova*27 citations*
166. **[A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment ↗](https://aclanthology.org/2023.findings-acl.205/)**Jianheng Tang, Kangfei Zhao, Jia Li*26 citations*
167. **[Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users ↗](https://aclanthology.org/2023.findings-emnlp.4/)**Yash Madhani, Sushane Parthan, Priyanka Bedekar et al.*26 citations*
168. **[Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints ↗](https://aclanthology.org/2023.findings-eacl.148/)**Albert Lu, Hongxin Zhang, Yanzhe Zhang et al.*26 citations*
169. **[Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ↗](https://aclanthology.org/2023.findings-acl.446/)**Lifan Yuan, YiChi Zhang, Yangyi Chen et al.*26 citations*
170. **[Code Execution with Pre-trained Language Models ↗](https://aclanthology.org/2023.findings-acl.308/)**Chenxiao Liu, Shuai Lu, Weizhu Chen et al.*26 citations*
171. **[DelucionQA: Detecting Hallucinations in Domain-specific Question Answering ↗](https://aclanthology.org/2023.findings-emnlp.59/)**Mobashir Sadat, Zhengyu Zhou, Lukas Lange et al.*26 citations*
172. **[Interpretable Multimodal Misinformation Detection with Logic Reasoning ↗](https://aclanthology.org/2023.findings-acl.620/)**Hui Liu, Wenya Wang, Haoliang Li*26 citations*
173. **[Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers ↗](https://aclanthology.org/2023.findings-emnlp.833/)**Wencong You, Zayd Hammoudeh, Daniel Lowd*26 citations*
174. **[Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring ↗](https://aclanthology.org/2023.findings-acl.98/)**Heejin Do, Yunsu Kim, Gary Geunbae Lee*26 citations*
175. **[TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction ↗](https://aclanthology.org/2023.findings-emnlp.655/)**Junyi Liu, Liangzhi Li, Tong Xiang et al.*26 citations*
176. **[TimelineQA: A Benchmark for Question Answering over Timelines ↗](https://aclanthology.org/2023.findings-acl.6/)**Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li et al.*26 citations*
177. **[Automatic Pronunciation Assessment - A Review ↗](https://aclanthology.org/2023.findings-emnlp.557/)**Yassine El Kheir, Ahmed Ali, Shammur Absar Chowdhury*25 citations*
178. **[Better Zero-Shot Reasoning with Self-Adaptive Prompting ↗](https://aclanthology.org/2023.findings-acl.216/)**Xingchen Wan, Ruoxi Sun, Hanjun Dai et al.*25 citations*
179. **[Cross-modality Data Augmentation for End-to-End Sign Language Translation ↗](https://aclanthology.org/2023.findings-emnlp.904/)**Jinhui Ye, Wenxiang Jiao, Xing Wang et al.*25 citations*
180. **[Enhancing Hierarchical Text Classification through Knowledge Graph Integration ↗](https://aclanthology.org/2023.findings-acl.358/)**Ye Liu, Kai Zhang, Zhenya Huang et al.*25 citations*
181. **[ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback ↗](https://aclanthology.org/2023.findings-emnlp.1001/)**Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang et al.*25 citations*
182. **[Residual Prompt Tuning: improving prompt tuning with residual reparameterization ↗](https://aclanthology.org/2023.findings-acl.421/)**Anastasiia Razdaibiedina, Yuning Mao, Madian Khabsa et al.*25 citations*
183. **[Sequential Integrated Gradients: a simple but effective method for explaining language models ↗](https://aclanthology.org/2023.findings-acl.477/)**Joseph Enguehard*25 citations*
184. **[T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation ↗](https://aclanthology.org/2023.findings-acl.160/)**Jialu Wang, Xinyue Liu, Zonglin Di et al.*25 citations*
185. **[UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning ↗](https://aclanthology.org/2023.findings-acl.41/)**Heqing Zou, Meng Shen, Chen Chen et al.*25 citations*
186. **[A Framework for Exploring Player Perceptions of LLM-Generated Dialogue in Commercial Video Games ↗](https://aclanthology.org/2023.findings-emnlp.151/)**Nader Akoury, Qian Yang, Mohit Iyyer*24 citations*
187. **[A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection ↗](https://aclanthology.org/2023.findings-emnlp.256/)**Shiping Yang, Renliang Sun, Xiaojun Wan*24 citations*
188. **[Crawling The Internal Knowledge-Base of Language Models ↗](https://aclanthology.org/2023.findings-eacl.139/)**Roi Cohen, Mor Geva, Jonathan Berant et al.*24 citations*
189. **[Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters](https://md.research.elamur.ai/free/en/papers/chen-2023-large-language-models-meet-harry/)**Nuo Chen, Yan Wang, Haiyun Jiang et al.*24 citations · our summary*
190. **[Learning by Analogy: Diverse Questions Generation in Math Word Problem ↗](https://aclanthology.org/2023.findings-acl.705/)**Zihao Zhou, Maizhen Ning, Qiufeng Wang et al.*24 citations*
191. **[Multilingual Summarization with Factual Consistency Evaluation ↗](https://aclanthology.org/2023.findings-acl.220/)**Roee Aharoni, Shashi Narayan, Joshua Maynez et al.*24 citations*
192. **[Nonparametric Masked Language Modeling ↗](https://aclanthology.org/2023.findings-acl.132/)**Sewon Min, Weijia Shi, Mike Lewis et al.*24 citations*
193. **[Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models ↗](https://aclanthology.org/2023.findings-emnlp.226/)**Gabriel Sarch, Yue Wu, Michael Tarr et al.*24 citations*
194. **[Self-Supervised Unimodal Label Generation Strategy Using Recalibrated Modality Representations for Multimodal Sentiment Analysis ↗](https://aclanthology.org/2023.findings-eacl.2/)**Yewon Hwang, Jong-Hwan Kim*24 citations*
195. **[The Diminishing Returns of Masked Language Models to Science ↗](https://aclanthology.org/2023.findings-acl.82/)**Zhi Hong, Aswathy Ajith, James Pauloski et al.*24 citations*
196. **[Aligning Language Models to User Opinions](https://md.research.elamur.ai/free/en/papers/hwang-2023-aligning-language-models-user-opinions/)**EunJeong Hwang, Bodhisattwa Majumder, Niket Tandon*23 citations · our summary*
197. **[An Empirical Comparison of LM-based Question and Answer Generation Methods ↗](https://aclanthology.org/2023.findings-acl.899/)**Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados*23 citations*
198. **[CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models](https://md.research.elamur.ai/free/en/papers/qian-2023-creator-tool-creation-disentangling-abstract/)**Cheng Qian, Chi Han, Yi Fung et al.*23 citations · our summary*
199. **[Probing LLMs for hate speech detection: strengths and vulnerabilities ↗](https://aclanthology.org/2023.findings-emnlp.407/)**Sarthak Roy, Ashish Harshvardhan, Animesh Mukherjee et al.*23 citations*
200. **[QAP: A Quantum-Inspired Adaptive-Priority-Learning Model for Multimodal Emotion Recognition ↗](https://aclanthology.org/2023.findings-acl.772/)**Ziming Li, Yan Zhou, Yaxin Liu et al.*23 citations*

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