📰 Findings of the Association for Computational Linguistics 2023 — accepted papers

Findings of the Association for Computational Linguistics 2023 is the 2023 edition of the Findings of the Association for Computational Linguistics, held in Singapore, December 2023 (publisher: Association for Computational Linguistics). The ACL Anthology lists 2,194 papers of it in 2 tracks; our library holds 95 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Tracks

Main2,157IJCNLP-AACL 2023 (Findings37

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang409 citations · our summary
2. RWKV: Reinventing RNNs for the Transformer EraBo 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 SizesCheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh et al.307 citations · our summary
4. Measuring and Narrowing the Compositionality Gap in Language ModelsOfir Press, Muru Zhang, Sewon Min et al.277 citations
5. Towards Mitigating LLM Hallucination via Self ReflectionZiwei Ji, Tiezheng Yu, Yan Xu et al.253 citations · our summary
6. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac 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 LearningViet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh et al.228 citations · our summary
8. HuatuoGPT, Towards Taming Language Model to Be a DoctorHongbo Zhang, Junying Chen, Feng Jiang et al.206 citations · our summary
9. Text Classification via Large Language ModelsXiaofei Sun, Xiaoya Li, Jiwei Li et al.199 citations · our summary
10. Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyZhihong Shao, Yeyun Gong, Yelong Shen et al.192 citations · our summary

All accepted papers (2,194)

The most cited first; 95 with our summary link to their page here, the others to the original.

1. Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang409 citations · our summary
2. RWKV: Reinventing RNNs for the Transformer EraBo 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 SizesCheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh et al.307 citations · our summary
4. Measuring and Narrowing the Compositionality Gap in Language ModelsOfir Press, Muru Zhang, Sewon Min et al.277 citations
5. Towards Mitigating LLM Hallucination via Self ReflectionZiwei Ji, Tiezheng Yu, Yan Xu et al.253 citations · our summary
6. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac 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 LearningViet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh et al.228 citations · our summary
8. HuatuoGPT, Towards Taming Language Model to Be a DoctorHongbo Zhang, Junying Chen, Feng Jiang et al.206 citations · our summary
9. Text Classification via Large Language ModelsXiaofei Sun, Xiaoya Li, Jiwei Li et al.199 citations · our summary
10. Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyZhihong Shao, Yeyun Gong, Yelong Shen et al.192 citations · our summary
11. Multi-step Jailbreaking Privacy Attacks on ChatGPTHaoran Li, Dadi Guo, Wei Fan et al.187 citations · our summary
12. SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational AbilitiesDong Zhang, Shimin Li, Xin Zhang et al.187 citations · our summary
13. Discovering Language Model Behaviors with Model-Written EvaluationsEthan Perez, Sam Ringer, Kamile Lukosiute et al.183 citations
14. Toxicity in chatgpt: Analyzing persona-assigned language modelsAmeet 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?Sedigheh Eslami, Christoph Meinel, Gerard de Melo167 citations
16. The Internal State of an LLM Knows When It's LyingAmos Azaria, Tom Mitchell164 citations · our summary
17. Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-OptimizersDamai Dai, Yutao Sun, Li Dong et al.147 citations · our summary
18. Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningLiangming Pan, Alon Albalak, Xinyi Wang et al.143 citations · our summary
19. Evaluating Verifiability in Generative Search EnginesNelson Liu, Tianyi Zhang, Percy Liang137 citations · our summary
20. Sources of Hallucination by Large Language Models on Inference TasksNick 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 LettersYixin Wan, George Pu, Jiao Sun et al.136 citations · our summary
22. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin 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!Yubo Ma, Yixin Cao, Yong Hong et al.113 citations · our summary
24. Large Language Models are Better Reasoners with Self-VerificationYixuan Weng, Minjun Zhu, Fei Xia et al.107 citations · our summary
25. LLM-in-the-loop: Leveraging Large Language Model for Thematic AnalysisShih-Chieh Dai, Aiping Xiong, Lun-Wei Ku106 citations

See all 2,194 papers in Findings of the Association for Computational Linguistics 2023 — accepted papers →

📄 Papers with our summary in our library (95)

The most cited first (OpenAlex citations plus our library's).

1. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,096 citations
2. Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang2023 · 778 citations
3. Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model SizesCheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al.2023 · 685 citations
4. Sentiment Analysis in the Era of Large Language Models: A Reality CheckWenxuan Zhang, Yue Deng, Bing Liu, et al.2023 · 505 citations
5. The Internal State of an LLM Knows When It's LyingAmos Azaria, Tom Mitchell2023 · 427 citations
6. ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual LearningViet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.2023 · 421 citations
7. Towards Mitigating LLM Hallucination via Self ReflectionZiwei Ji, Tiezheng Yu, Yan Xu, et al.2023 · 352 citations
8. Toxicity in chatgpt: Analyzing persona-assigned language modelsAmeet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.2023 · 346 citations
9. SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational AbilitiesDong Zhang, Shimin Li, Xin Zhang, et al.2023 · 346 citations
10. Large Language Models are Better Reasoners with Self-VerificationYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 302 citations
11. Multi-step Jailbreaking Privacy Attacks on ChatGPTHaoran Li, Dadi Guo, Wei Fan, et al.2023 · 300 citations
12. Evaluating Verifiability in Generative Search EnginesNelson Liu, Tianyi Zhang, Percy Liang2023 · 294 citations
13. Text Classification via Large Language ModelsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
14. HuatuoGPT, Towards Taming Language Model to Be a DoctorHongbo Zhang, Junying Chen, Feng Jiang, et al.2023 · 282 citations
15. Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsPouya Pezeshkpour, Estevam Hruschka2023 · 256 citations
16. Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-OptimizersDamai Dai, Yutao Sun, Li Dong, et al.2023 · 253 citations
17. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 245 citations
18. In-context Examples Selection for Machine TranslationSweta Agrawal, Chunting Zhou, Mike Lewis, et al.2023 · 242 citations
19. Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 217 citations
20. Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Yubo Ma, Yixin Cao, Yong Hong, et al.2023 · 211 citations
21. Sources of Hallucination by Large Language Models on Inference TasksNick McKenna, Tianyi Li, Liang Cheng, et al.2023 · 209 citations
22. “Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference LettersYixin Wan, George Pu, Jiao Sun, et al.2023 · 206 citations
23. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
24. Towards Making the Most of ChatGPT for Machine TranslationKeqin Peng, Liang Ding, Qihuang Zhong, et al.2023 · 190 citations
25. Large Language Models are few(1)-shot Table ReasonersWenhu Chen2023 · 182 citations

See all 95 works in Findings of the Association for Computational Linguistics 2023 — accepted papers →

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🧠 Language models & pretraining (39)🧮 Reasoning (14)📏 Evaluation & benchmarks (12)🗨️ Dialogue systems (7)😊 Sentiment & emotion (6) Semitic languages (6)🧵 Discourse analysis (5)🌍 Multilingual & cross-lingual NLP (5)🕎 Hebrew & Aramaic (5)🛡️ Bias, fairness & safety (5) English (5) Modern Hebrew (5)🔗 Coreference resolution (4)🔁 Machine translation (4)🔍 Information retrieval & search (4)

📚 Fields

🖥️ Computer Science (95)🎭 Arts and Humanities (90)🤝 Social Sciences (12)💭 Psychology (4)🩺 Medicine (2)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Nanyang Technological UniversitySingapore · Singapore7 works here🎓Hong Kong University of Science and TechnologyHong Kong · China6 works here🎓Stanford UniversityStanford · United States6 works here🏢GoogleMountain View · United States5 works here🎓Bar-Ilan UniversityRamat Gan · Israel4 works here🎓University of WashingtonSeattle · United States4 works here🎓Harbin Institute of TechnologyHarbin · China4 works here🔬Allen Institute for Artificial IntelligenceSeattle · United States4 works here🎓University of Southern CaliforniaLos Angeles · United States3 works here🏢MicrosoftRedmond · United States3 works here🎓University of WaterlooWaterloo · Canada3 works here🎓University of Illinois Urbana-ChampaignUrbana · United States3 works here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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