---
title: "NAACL 2024 — accepted papers — Elamur Research"
description: "NAACL 2024 — accepted papers: 27 papers in the Elamur Research library (Mexico City, Mexico), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/naacl/2024/"
---
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# 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.

[**662** papers in the proceedings](#all) · [**27** works in our library](https://md.research.elamur.ai/free/en/venues/naacl/2024/works/) · [**2,519** citations of these works](https://md.research.elamur.ai/free/en/venues/naacl/2024/works/)**Mexico City, Mexico** where it was held**16–21 June 2024** when

## Tracks

Long Papers 487Short Papers 75Industry Track 43Student Research Workshop 30System Demonstrations 21Tutorial Abstracts 6

## 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 Complexity](https://md.research.elamur.ai/free/en/papers/jeong-2024-adaptive-rag-learning-adapt-retrieval/)**Soyeong Jeong, Jinheon Baek, Sukmin Cho et al. · Long Papers*231 citations · our summary*
2. **[REPLUG: Retrieval-Augmented Black-Box Language Models](https://aclanthology.org/2024.naacl-long.463/)**Weijia Shi, Sewon Min, Michihiro Yasunaga et al. · Long Papers*191 citations*
3. **[Better Zero-Shot Reasoning with Role-Play Prompting](https://aclanthology.org/2024.naacl-long.228/)**Aobo Kong, Shiwan Zhao, Hao Chen et al. · Long Papers*171 citations*
4. **[GPTScore: Evaluate as You Desire](https://aclanthology.org/2024.naacl-long.365/)**Jinlan Fu, See-Kiong Ng, Zhengbao Jiang et al. · Long Papers*166 citations*
5. **[ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems](https://aclanthology.org/2024.naacl-long.20/)**Jon Saad-Falcon, Omar Khattab, Christopher Potts et al. · Long Papers*138 citations*
6. **[Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey](https://aclanthology.org/2024.naacl-long.219/)**Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi et al. · Long Papers*110 citations*
7. **[TopicGPT: A Prompt-based Topic Modeling Framework](https://aclanthology.org/2024.naacl-long.164/)**Chau Minh Pham, Alexander Hoyle, Simeng Sun et al. · Long Papers*96 citations*
8. **[Reducing hallucination in structured outputs via Retrieval-Augmented Generation](https://aclanthology.org/2024.naacl-industry.19/)**Patrice Béchard, Orlando Marquez Ayala · Industry Track*95 citations*
9. **[AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators](https://aclanthology.org/2024.naacl-industry.15/)**Xingwei He, Zhenghao Lin, Yeyun Gong et al. · Industry Track*92 citations*
10. **[GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer](https://md.research.elamur.ai/free/en/papers/zaratiana-2024-gliner-generalist-model-named-entity/)**Urchade Zaratiana, Nadi Tomeh, Pierre Holat et al. · Long Papers*86 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 Complexity](https://md.research.elamur.ai/free/en/papers/jeong-2024-adaptive-rag-learning-adapt-retrieval/)**Soyeong Jeong, Jinheon Baek, Sukmin Cho et al. · Long Papers*231 citations · our summary*
2. **[REPLUG: Retrieval-Augmented Black-Box Language Models](https://aclanthology.org/2024.naacl-long.463/)**Weijia Shi, Sewon Min, Michihiro Yasunaga et al. · Long Papers*191 citations*
3. **[Better Zero-Shot Reasoning with Role-Play Prompting](https://aclanthology.org/2024.naacl-long.228/)**Aobo Kong, Shiwan Zhao, Hao Chen et al. · Long Papers*171 citations*
4. **[GPTScore: Evaluate as You Desire](https://aclanthology.org/2024.naacl-long.365/)**Jinlan Fu, See-Kiong Ng, Zhengbao Jiang et al. · Long Papers*166 citations*
5. **[ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems](https://aclanthology.org/2024.naacl-long.20/)**Jon Saad-Falcon, Omar Khattab, Christopher Potts et al. · Long Papers*138 citations*
6. **[Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey](https://aclanthology.org/2024.naacl-long.219/)**Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi et al. · Long Papers*110 citations*
7. **[TopicGPT: A Prompt-based Topic Modeling Framework](https://aclanthology.org/2024.naacl-long.164/)**Chau Minh Pham, Alexander Hoyle, Simeng Sun et al. · Long Papers*96 citations*
8. **[Reducing hallucination in structured outputs via Retrieval-Augmented Generation](https://aclanthology.org/2024.naacl-industry.19/)**Patrice Béchard, Orlando Marquez Ayala · Industry Track*95 citations*
9. **[AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators](https://aclanthology.org/2024.naacl-industry.15/)**Xingwei He, Zhenghao Lin, Yeyun Gong et al. · Industry Track*92 citations*
10. **[GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer](https://md.research.elamur.ai/free/en/papers/zaratiana-2024-gliner-generalist-model-named-entity/)**Urchade Zaratiana, Nadi Tomeh, Pierre Holat et al. · Long Papers*86 citations · our summary*
11. **[Does GPT-4 pass the Turing test?](https://aclanthology.org/2024.naacl-long.290/)**Cameron R. Jones, Benjamin K. Bergen · Long Papers*85 citations*
12. **[A Survey of Confidence Estimation and Calibration in Large Language Models](https://aclanthology.org/2024.naacl-long.366/)**Jiahui Geng, Fengyu Cai, Yuxia Wang et al. · Long Papers*83 citations*
13. **[Trusting Your Evidence: Hallucinate Less with Context-aware Decoding](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/)**Weijia Shi, Xiaochuang Han, Mike Lewis et al. · Short Papers*75 citations · our summary*
14. **[XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models](https://aclanthology.org/2024.naacl-long.301/)**Paul Röttger, Hannah Kirk, Bertie Vidgen et al. · Long Papers*72 citations*
15. **[Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration](https://aclanthology.org/2024.naacl-long.15/)**Zhenhailong Wang, Shaoguang Mao, Wenshan Wu et al. · Long Papers*68 citations*
16. **[InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis](https://aclanthology.org/2024.naacl-short.63/)**Kevin Scaria, Himanshu Gupta, Siddharth Goyal et al. · Short Papers*60 citations*
17. **[Multimodal Multi-loss Fusion Network for Sentiment Analysis](https://aclanthology.org/2024.naacl-long.197/)**Zehui Wu, Ziwei Gong, Jaywon Koo et al. · Long Papers*58 citations*
18. **[A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily](https://aclanthology.org/2024.naacl-long.118/)**Peng Ding, Jun Kuang, Dan Ma et al. · Long Papers*55 citations*
19. **[Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection](https://aclanthology.org/2024.naacl-long.337/)**Jun Yan, Vikas Yadav, Shiyang Li et al. · Long Papers*53 citations*
20. **[Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks](https://aclanthology.org/2024.naacl-long.102/)**Zhaofeng Wu, Linlu Qiu, Alexis Ross et al. · Long Papers*53 citations*
21. **[Ghostbuster: Detecting Text Ghostwritten by Large Language Models](https://md.research.elamur.ai/free/en/papers/verma-2024-ghostbuster-detecting-text-ghostwritten-large/)**Vivek Verma, Eve Fleisig, Nicholas Tomlin et al. · Long Papers*52 citations · our summary*
22. **[SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling](https://aclanthology.org/2024.naacl-industry.3/)**Sanghoon Kim, Dahyun Kim, Chanjun Park et al. · Industry Track*51 citations*
23. **[TableLlama: Towards Open Large Generalist Models for Tables](https://aclanthology.org/2024.naacl-long.335/)**Tianshu Zhang, Xiang Yue, Yifei Li et al. · Long Papers*51 citations*
24. **[From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning](https://aclanthology.org/2024.naacl-long.421/)**Ming Li, Yong Zhang, Zhitao Li et al. · Long Papers*48 citations*
25. **[Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels](https://aclanthology.org/2024.naacl-short.31/)**Honglei Zhuang, Zhen Qin, Kai Hui et al. · Short Papers*45 citations*

[See all 662 papers in NAACL 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/naacl/2024/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 Complexity](https://md.research.elamur.ai/free/en/papers/jeong-2024-adaptive-rag-learning-adapt-retrieval/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Soyeong Jeong, Jinheon Baek, Sukmin Cho, et al.*2024 · 381 citations*
2. **[Trusting Your Evidence: Hallucinate Less with Context-aware Decoding](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Weijia Shi, Xiaochuang Han, Mike Lewis, et al.*2024 · 240 citations*
3. **[GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer](https://md.research.elamur.ai/free/en/papers/zaratiana-2024-gliner-generalist-model-named-entity/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Urchade Zaratiana, Nadi Tomeh, Pierre Holat, et al.*2024 · 189 citations*
4. **[Investigating Data Contamination in Modern Benchmarks for Large Language Models](https://md.research.elamur.ai/free/en/papers/deng-2024-investigating-data-contamination-modern-benchmarks/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chunyuan Deng, Yilun Zhao, Xiangru Tang, et al.*2024 · 137 citations*
5. **[AceGPT, Localizing Large Language Models in Arabic](https://md.research.elamur.ai/free/en/papers/huang-2024-acegpt-localizing-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Huang Huang, Fei Yu, Jianqing Zhu, et al.*2024 · 127 citations*
6. **[Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models](https://md.research.elamur.ai/free/en/papers/shao-2024-assisting-writing-wikipedia-like-articles/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yijia Shao, Yucheng Jiang, Theodore Kanell, et al.*2024 · 126 citations*
7. **[Ghostbuster: Detecting Text Ghostwritten by Large Language Models](https://md.research.elamur.ai/free/en/papers/verma-2024-ghostbuster-detecting-text-ghostwritten-large/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Vivek Verma, Eve Fleisig, Nicholas Tomlin, et al.*2024 · 122 citations*
8. **[ExpertQA: Expert-Curated Questions and Attributed Answers](https://md.research.elamur.ai/free/en/papers/malaviya-2024-expertqa-expert-curated-questions-attributed/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chaitanya Malaviya, Subin Lee, Sihao Chen, et al.*2024 · 109 citations*
9. **[Do Multilingual Language Models Think Better in English?](https://md.research.elamur.ai/free/en/papers/etxaniz-2024-do-multilingual-language-models-think/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Julen Etxaniz, Gorka Azkune, Aitor Soroa, et al.*2024 · 98 citations*
10. **[LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models](https://md.research.elamur.ai/free/en/papers/han-2024-lm-infinite-zero-shot-extreme/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chi Han, Qifan Wang, Hao Peng, et al.*2024 · 95 citations*
11. **[On Learning to Summarize with Large Language Models as References](https://md.research.elamur.ai/free/en/papers/liu-2024-learning-summarize-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yixin Liu, Kejian Shi, Katherine He, et al.*2024 · 94 citations*
12. **[LLMs Are Few-Shot In-Context Low-Resource Language Learners](https://md.research.elamur.ai/free/en/papers/cahyawijaya-2024-llms-are-few-shot-context/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Samuel Cahyawijaya, Holy Lovenia, Pascale Fung*2024 · 92 citations*
13. **[BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer](https://md.research.elamur.ai/free/en/papers/asai-2024-buffet-benchmarking-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Akari Asai, Sneha Kudugunta, Xinyan Yu, et al.*2024 · 85 citations*
14. **[SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2024-seaeval-multilingual-foundation-models-cross/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bin Wang, Zhengyuan Liu, Xin Huang, et al.*2024 · 85 citations*
15. **[Complex Claim Verification with Evidence Retrieved in the Wild](https://md.research.elamur.ai/free/en/papers/chen-2024-complex-claim-verification-evidence-retrieved/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jifan Chen, Grace Kim, Aniruddh Sriram, et al.*2024 · 84 citations*
16. **[MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2024-mmc-advancing-multimodal-chart-understanding/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, et al.*2024 · 83 citations*
17. **[MART: Improving LLM Safety with Multi-round Automatic Red-Teaming](https://md.research.elamur.ai/free/en/papers/ge-2024-mart-improving-llm-safety-multi/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Suyu Ge, Chunting Zhou, Rui Hou, et al.*2024 · 79 citations*
18. **[MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks](https://md.research.elamur.ai/free/en/papers/ahuja-2024-megaverse-benchmarking-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, et al.*2024 · 74 citations*
19. **[HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM](https://md.research.elamur.ai/free/en/papers/wang-2024-helpsteer-multi-attribute-helpfulness-dataset/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zhilin 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 Neurons](https://md.research.elamur.ai/free/en/papers/kojima-2024-multilingual-ability-decoder-based-pre/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, et al.*2024 · 65 citations*
21. **[Generalizable Sarcasm Detection is Just Around the Corner, of Course!](https://md.research.elamur.ai/free/en/papers/jang-2024-generalizable-sarcasm-detection-is-just/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hyewon Jang, Diego Frassinelli*2024 · 22 citations*
22. **[A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution](https://md.research.elamur.ai/free/en/papers/ding-2024-rationale-centric-counterfactual-data-augmentation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bowen Ding, Qingkai Min, Shengkun Ma, et al.*2024 · 17 citations*
23. **[Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/nath-2024-okay-let-s-do-this/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Abhijnan Nath, Shadi Manafi Avari, Avyakta Chelle, et al.*2024 · 16 citations*
24. **[What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?](https://md.research.elamur.ai/free/en/papers/liu-2024-what-causes-failure-explicit-implicit/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Wei Liu, Stephen Wan, Michael Strube*2024 · 12 citations*
25. **[Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering](https://md.research.elamur.ai/free/en/papers/srikanth-2024-pregnant-questions-importance-pragmatic-awareness/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Neha Srikanth, Rupak Sarkar, Heran Mane, et al.*2024 · 11 citations*

[See all 27 works in NAACL 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/naacl/2024/works/)

## Top topics

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

[Language models & pretraining (12)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP (5)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Coreference resolution (2)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Reasoning (2)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language (2)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [English (2)](https://md.research.elamur.ai/free/en/topics/english/) · [Named entity recognition (1)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Discourse analysis (1)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Implicature (1)](https://md.research.elamur.ai/free/en/topics/implicature/) · [Universal Dependencies (1)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Treebanks (1)](https://md.research.elamur.ai/free/en/topics/treebanks/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Sentiment & emotion (1)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Summarization (1)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Low-resource languages (1)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/)

**7 more topics**

[Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Semitic languages (1)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Information retrieval & search (1)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Bias, fairness & safety (1)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Grammatical error correction & learner language (1)](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [Idioms & multiword expressions (1)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/)

## Fields

[Computer Science (27)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (26)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Psychology (1)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

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

[🧑‍🔬**Yulia Tsvetkov**2 works here · 325 citations](https://md.research.elamur.ai/free/en/authors/yulia-tsvetkov/) · [🧑‍🔬**Arman Cohan**2 works here · 231 citations](https://md.research.elamur.ai/free/en/authors/arman-cohan/) · [🧑‍🔬**Qifan Wang**2 works here · 174 citations](https://md.research.elamur.ai/free/en/authors/qifan-wang/) · [🧑‍🔬**Jinheon Baek**1 work here · 381 citations](https://md.research.elamur.ai/free/en/authors/jinheon-baek/) · [🧑‍🔬**Jong C. Park**1 work here · 381 citations](https://md.research.elamur.ai/free/en/authors/jong-c-park/) · [🧑‍🔬**Sung Ju Hwang**1 work here · 381 citations](https://md.research.elamur.ai/free/en/authors/sung-ju-hwang/) · [🧑‍🔬**Luke Zettlemoyer**1 work here · 240 citations](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) · [🧑‍🔬**Mike Lewis**1 work here · 240 citations](https://md.research.elamur.ai/free/en/authors/mike-lewis/) · [🧑‍🔬**Weijia Shi**1 work here · 240 citations](https://md.research.elamur.ai/free/en/authors/weijia-shi/) · [🧑‍🔬**Wen-tau Yih**1 work here · 240 citations](https://md.research.elamur.ai/free/en/authors/wen-tau-yih/) · [🧑‍🔬**Xiaochuang Han**1 work here · 240 citations](https://md.research.elamur.ai/free/en/authors/xiaochuang-han/) · [🧑‍🔬**Nadi Tomeh**1 work here · 189 citations](https://md.research.elamur.ai/free/en/authors/nadi-tomeh/)

## Top institutions

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

[🎓**University of Washington** Seattle · United States 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 3 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**Yale University** New Haven · United States 2 works here](https://md.research.elamur.ai/free/en/universities/yale-university/) · [🏛️**Agency for Science, Technology and Research** Singapore · Singapore 1 work here](https://md.research.elamur.ai/free/en/government/agency-for-science-technology-and-research/) · [🏢**Microsoft** Redmond · United States 1 work here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏛️**Commonwealth Scientific and Industrial Research Organisation** Canberra · Australia 1 work here](https://md.research.elamur.ai/free/en/government/commonwealth-scientific-and-industrial-research-organisation/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 1 work here](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🎓**Dalhousie University** Halifax · Canada 1 work here](https://md.research.elamur.ai/free/en/universities/dalhousie-university/) · [🎓**Georgia Institute of Technology** Atlanta · United States 1 work here](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🎓**Korea Advanced Institute of Science and Technology** Daejeon · South Korea 1 work here](https://md.research.elamur.ai/free/en/universities/korea-advanced-institute-of-science-and-technology/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/)

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

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