📰 NAACL 2024 — accepted papers

NAACL 2024 is the 2024 edition of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), held in Mexico City, Mexico, 16–21 June 2024 (publisher: Association for Computational Linguistics). The ACL Anthology lists 662 papers of it in 6 tracks; our library holds 27 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Tracks

Long Papers487Short Papers75Industry Track43Student Research Workshop30System Demonstrations21Tutorial Abstracts6

Most cited papers

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

1. Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexitySoyeong Jeong, Jinheon Baek, Sukmin Cho et al. · Long Papers231 citations · our summary
2. REPLUG: Retrieval-Augmented Black-Box Language ModelsWeijia Shi, Sewon Min, Michihiro Yasunaga et al. · Long Papers191 citations
3. Better Zero-Shot Reasoning with Role-Play PromptingAobo Kong, Shiwan Zhao, Hao Chen et al. · Long Papers171 citations
4. GPTScore: Evaluate as You DesireJinlan Fu, See-Kiong Ng, Zhengbao Jiang et al. · Long Papers166 citations
5. ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsJon Saad-Falcon, Omar Khattab, Christopher Potts et al. · Long Papers138 citations
6. Can Knowledge Graphs Reduce Hallucinations in LLMs? : A SurveyGarima Agrawal, Tharindu Kumarage, Zeyad Alghamdi et al. · Long Papers110 citations
7. TopicGPT: A Prompt-based Topic Modeling FrameworkChau Minh Pham, Alexander Hoyle, Simeng Sun et al. · Long Papers96 citations
8. Reducing hallucination in structured outputs via Retrieval-Augmented GenerationPatrice Béchard, Orlando Marquez Ayala · Industry Track95 citations
9. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsXingwei He, Zhenghao Lin, Yeyun Gong et al. · Industry Track92 citations
10. GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerUrchade Zaratiana, Nadi Tomeh, Pierre Holat et al. · Long Papers86 citations · our summary

All accepted papers (662)

The most cited first; 27 with our summary link to their page here, the others to the original.

1. Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexitySoyeong Jeong, Jinheon Baek, Sukmin Cho et al. · Long Papers231 citations · our summary
2. REPLUG: Retrieval-Augmented Black-Box Language ModelsWeijia Shi, Sewon Min, Michihiro Yasunaga et al. · Long Papers191 citations
3. Better Zero-Shot Reasoning with Role-Play PromptingAobo Kong, Shiwan Zhao, Hao Chen et al. · Long Papers171 citations
4. GPTScore: Evaluate as You DesireJinlan Fu, See-Kiong Ng, Zhengbao Jiang et al. · Long Papers166 citations
5. ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsJon Saad-Falcon, Omar Khattab, Christopher Potts et al. · Long Papers138 citations
6. Can Knowledge Graphs Reduce Hallucinations in LLMs? : A SurveyGarima Agrawal, Tharindu Kumarage, Zeyad Alghamdi et al. · Long Papers110 citations
7. TopicGPT: A Prompt-based Topic Modeling FrameworkChau Minh Pham, Alexander Hoyle, Simeng Sun et al. · Long Papers96 citations
8. Reducing hallucination in structured outputs via Retrieval-Augmented GenerationPatrice Béchard, Orlando Marquez Ayala · Industry Track95 citations
9. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsXingwei He, Zhenghao Lin, Yeyun Gong et al. · Industry Track92 citations
10. GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerUrchade Zaratiana, Nadi Tomeh, Pierre Holat et al. · Long Papers86 citations · our summary
11. Does GPT-4 pass the Turing test?Cameron R. Jones, Benjamin K. Bergen · Long Papers85 citations
12. A Survey of Confidence Estimation and Calibration in Large Language ModelsJiahui Geng, Fengyu Cai, Yuxia Wang et al. · Long Papers83 citations
13. Trusting Your Evidence: Hallucinate Less with Context-aware DecodingWeijia Shi, Xiaochuang Han, Mike Lewis et al. · Short Papers75 citations · our summary
14. XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language ModelsPaul Röttger, Hannah Kirk, Bertie Vidgen et al. · Long Papers72 citations
15. Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationZhenhailong Wang, Shaoguang Mao, Wenshan Wu et al. · Long Papers68 citations
16. InstructABSA: Instruction Learning for Aspect Based Sentiment AnalysisKevin Scaria, Himanshu Gupta, Siddharth Goyal et al. · Short Papers60 citations
17. Multimodal Multi-loss Fusion Network for Sentiment AnalysisZehui Wu, Ziwei Gong, Jaywon Koo et al. · Long Papers58 citations
18. A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models EasilyPeng Ding, Jun Kuang, Dan Ma et al. · Long Papers55 citations
19. Backdooring Instruction-Tuned Large Language Models with Virtual Prompt InjectionJun Yan, Vikas Yadav, Shiyang Li et al. · Long Papers53 citations
20. Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual TasksZhaofeng Wu, Linlu Qiu, Alexis Ross et al. · Long Papers53 citations
21. Ghostbuster: Detecting Text Ghostwritten by Large Language ModelsVivek Verma, Eve Fleisig, Nicholas Tomlin et al. · Long Papers52 citations · our summary
22. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-ScalingSanghoon Kim, Dahyun Kim, Chanjun Park et al. · Industry Track51 citations
23. TableLlama: Towards Open Large Generalist Models for TablesTianshu Zhang, Xiang Yue, Yifei Li et al. · Long Papers51 citations
24. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningMing Li, Yong Zhang, Zhitao Li et al. · Long Papers48 citations
25. Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance LabelsHonglei Zhuang, Zhen Qin, Kai Hui et al. · Short Papers45 citations

See all 662 papers in NAACL 2024 — accepted papers →

📄 Papers with our summary in our library (27)

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

1. Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexitySoyeong Jeong, Jinheon Baek, Sukmin Cho, et al.2024 · 381 citations
2. Trusting Your Evidence: Hallucinate Less with Context-aware DecodingWeijia Shi, Xiaochuang Han, Mike Lewis, et al.2024 · 240 citations
3. GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerUrchade Zaratiana, Nadi Tomeh, Pierre Holat, et al.2024 · 189 citations
4. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsChunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
5. AceGPT, Localizing Large Language Models in ArabicHuang Huang, Fei Yu, Jianqing Zhu, et al.2024 · 127 citations
6. Assisting in Writing Wikipedia-like Articles From Scratch with Large Language ModelsYijia Shao, Yucheng Jiang, Theodore Kanell, et al.2024 · 126 citations
7. Ghostbuster: Detecting Text Ghostwritten by Large Language ModelsVivek Verma, Eve Fleisig, Nicholas Tomlin, et al.2024 · 122 citations
8. ExpertQA: Expert-Curated Questions and Attributed AnswersChaitanya Malaviya, Subin Lee, Sihao Chen, et al.2024 · 109 citations
9. Do Multilingual Language Models Think Better in English?Julen Etxaniz, Gorka Azkune, Aitor Soroa, et al.2024 · 98 citations
10. LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language ModelsChi Han, Qifan Wang, Hao Peng, et al.2024 · 95 citations
11. On Learning to Summarize with Large Language Models as ReferencesYixin Liu, Kejian Shi, Katherine He, et al.2024 · 94 citations
12. LLMs Are Few-Shot In-Context Low-Resource Language LearnersSamuel Cahyawijaya, Holy Lovenia, Pascale Fung2024 · 92 citations
13. BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual TransferAkari Asai, Sneha Kudugunta, Xinyan Yu, et al.2024 · 85 citations
14. SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural ReasoningBin Wang, Zhengyuan Liu, Xin Huang, et al.2024 · 85 citations
15. Complex Claim Verification with Evidence Retrieved in the WildJifan Chen, Grace Kim, Aniruddh Sriram, et al.2024 · 84 citations
16. MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction TuningFuxiao Liu, Xiaoyang Wang, Wenlin Yao, et al.2024 · 83 citations
17. MART: Improving LLM Safety with Multi-round Automatic Red-TeamingSuyu Ge, Chunting Zhou, Rui Hou, et al.2024 · 79 citations
18. MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and TasksSanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, et al.2024 · 74 citations
19. HelpSteer: Multi-attribute Helpfulness Dataset for SteerLMZhilin Wang, Yi Dong, Jiaqi Zeng, et al.2024 · 69 citations
20. On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific NeuronsTakeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, et al.2024 · 65 citations
21. Generalizable Sarcasm Detection is Just Around the Corner, of Course!Hyewon Jang, Diego Frassinelli2024 · 22 citations
22. A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference ResolutionBowen Ding, Qingkai Min, Shengkun Ma, et al.2024 · 17 citations
23. Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge DistillationAbhijnan Nath, Shadi Manafi Avari, Avyakta Chelle, et al.2024 · 16 citations
24. What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?Wei Liu, Stephen Wan, Michael Strube2024 · 12 citations
25. Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question AnsweringNeha Srikanth, Rupak Sarkar, Heran Mane, et al.2024 · 11 citations

See all 27 works in NAACL 2024 — accepted papers →

🧭 Top topics

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

🧠Language models & pretraining (12)🌍Multilingual & cross-lingual NLP (5)🔗Coreference resolution (2)🧮Reasoning (2)🖼️Vision & language (2)English (2)🏷️Named entity recognition (1)🧵Discourse analysis (1)😉Implicature (1)🌐Universal Dependencies (1)🗂️Treebanks (1)❓Question answering (1)😊Sentiment & emotion (1)📝Summarization (1)🌱Low-resource languages (1)

📚 Fields

🖥️Computer Science (27)🎭Arts and Humanities (26)💭Psychology (1)🤝Social Sciences (1)

🧑‍🔬 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.

🎓University of WashingtonSeattle · United States3 works here🔬Allen Institute for Artificial IntelligenceSeattle · United States3 works here🎓Yale UniversityNew Haven · United States2 works here🏛️Agency for Science, Technology and ResearchSingapore · Singapore1 work here🏢MicrosoftRedmond · United States1 work here🏛️Commonwealth Scientific and Industrial Research OrganisationCanberra · Australia1 work here🔬Centre National de la Recherche ScientifiqueParis · France1 work here🎓Dalhousie UniversityHalifax · Canada1 work here🎓Georgia Institute of TechnologyAtlanta · United States1 work here🎓Beijing University of Posts and TelecommunicationsBeijing · China1 work here🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea1 work here🎓University of Illinois Urbana-ChampaignUrbana · United States1 work 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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