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Findings of the Association for Computational Linguistics 2024: all accepted papers

2,432 papers · page 5 of 25 · the most cited first · ← Findings of the Association for Computational Linguistics 2024

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  1. PACE: Improving Prompt with Actor-Critic Editing for Large Language Model ↗Yihong Dong, Kangcheng Luo, Xue Jiang et al.12 citations
  2. Probing the Emergence of Cross-lingual Alignment during LLM Training ↗Hetong Wang, Pasquale Minervini, Edoardo Ponti12 citations
  3. Proving membership in LLM pretraining data via data watermarks ↗Johnny Wei, Ryan Wang, Robin Jia12 citations
  4. Pruning Foundation Models for High Accuracy without Retraining ↗Pu Zhao, Fei Sun, Xuan Shen et al.12 citations
  5. PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs ↗Ankit Yadav, Himanshu Beniwal, Mayank Singh12 citations
  6. Selective Prompting Tuning for Personalized Conversations with LLMs ↗Qiushi Huang, Xubo Liu, Tom Ko et al.12 citations
  7. Style Vectors for Steering Generative Large Language Models ↗Kai Konen, Sophie Jentzsch, Diaoulé Diallo et al.12 citations
  8. To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models ↗Bozhong Tian, Xiaozhuan Liang, Siyuan Cheng et al.12 citations
  9. ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos ↗Krishanu Maity, A.S. Poornash, Sriparna Saha et al.12 citations
  10. Understanding Cross-Lingual Alignment–-A Survey ↗Katharina Hämmerl, Jindřich Libovický, Alexander Fraser12 citations
  11. VeriScore: Evaluating the factuality of verifiable claims in long-form text generationYixiao Song, Yekyung Kim, Mohit Iyyer12 citations · our summary
  12. A Study of Implicit Ranking Unfairness in Large Language Models ↗Chen Xu, Wenjie Wang, Yuxin Li et al.11 citations
  13. Are Large Language Models Consistent over Value-laden Questions? ↗Jared Moore, Tanvi Deshpande, Diyi Yang11 citations
  14. Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning ↗Mohammed Saidul Islam, Raian Rahman, Ahmed Masry et al.11 citations
  15. Can Language Models Recognize Convincing Arguments? ↗Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu et al.11 citations
  16. CeeBERT: Cross-Domain Inference in Early Exit BERT ↗Divya Jyoti Bajpai, Manjesh Kumar Hanawal11 citations
  17. ChartCheck: Explainable Fact-Checking over Real-World Chart Images ↗Mubashara Akhtar, Nikesh Subedi, Vivek Gupta et al.11 citations
  18. Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models ↗Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Susanna Paoli et al.11 citations
  19. Evidence Retrieval is almost All You Need for Fact Verification ↗Liwen Zheng, Chaozhuo Li, Xi Zhang et al.11 citations
  20. Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio Deepfake ↗Orchid Chetia Phukan, Gautam Siddharth Kashyap, Arun Balaji Buduru et al.11 citations
  21. KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge ↗Jiyoung Lee, Minwoo Kim, Seungho Kim et al.11 citations
  22. LLM Performance Predictors are good initializers for Architecture Search ↗Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan et al.11 citations
  23. LoRA Meets Dropout under a Unified Framework ↗Sheng Wang, Liheng Chen, Jiyue Jiang et al.11 citations
  24. ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs ↗Lei Sun, Zhengwei Tao, Youdi Li et al.11 citations
  25. OffsetBias: Leveraging Debiased Data for Tuning EvaluatorsJunsoo Park, Seungyeon Jwa, Ren Meiying et al.11 citations · our summary
  26. Pruning as a Domain-specific LLM Extractor ↗Nan Zhang, Yanchi Liu, Xujiang Zhao et al.11 citations
  27. Pushing the Limits of Low-Resource NER Using LLM Artificial Data Generation ↗Joan Santoso, Patrick Sutanto, Billy Cahyadi et al.11 citations
  28. Pushing the Limits of Zero-shot End-to-End Speech Translation ↗Ioannis Tsiamas, Gerard I. Gállego, José A. R. Fonollosa et al.11 citations
  29. Sanitizing Large Language Models in Bug Detection with Data-Flow ↗Chengpeng Wang, Wuqi Zhang, Zian Su et al.11 citations
  30. SharedCon: Implicit Hate Speech Detection using Shared Semantics ↗Hyeseon Ahn, Youngwook Kim, Jungin Kim et al.11 citations
  31. The Emotion Dynamics of Literary Novels ↗Krishnapriya Vishnubhotla, Adam Hammond, Graeme Hirst et al.11 citations
  32. TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish ↗Arda Yüksel, Abdullatif Köksal, Lütfi Kerem Senel et al.11 citations
  33. Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed? ↗Tannon Kew, Florian Schottmann, Rico Sennrich11 citations
  34. Using LLMs to simulate students' responses to exam questions ↗Luca Benedetto, Giovanni Aradelli, Antonia Donvito et al.11 citations
  35. A Unified Framework for Model Editing ↗Akshat Gupta, Dev Sajnani, Gopala Anumanchipalli10 citations
  36. Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning ↗Kaiyi Zhang, Ang Lv, Yuhan Chen et al.10 citations
  37. Can Large Language Models Understand Context? ↗Yilun Zhu, Joel Ruben Antony Moniz, Shruti Bhargava et al.10 citations
  38. Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs ↗Victor Carbune, Hassan Mansoor, Fangyu Liu et al.10 citations
  39. Divide-or-Conquer? Which Part Should You Distill Your LLM? ↗Zhuofeng Wu, Richard He Bai, Aonan Zhang et al.10 citations
  40. Dynamic Planning for LLM-based Graphical User Interface Automation ↗Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen et al.10 citations
  41. Generalized Category Discovery with Large Language Models in the Loop ↗Wenbin An, Wenkai Shi, Feng Tian et al.10 citations
  42. Incremental Sequence Labeling: A Tale of Two Shifts ↗Shengjie Qiu, Junhao Zheng, Zhen Liu et al.10 citations
  43. LANS: A Layout-Aware Neural Solver for Plane Geometry Problem ↗Zhong-Zhi Li, Ming-Liang Zhang, Fei Yin et al.10 citations
  44. LLM generated responses to mitigate the impact of hate speech ↗Jakub Podolak, Szymon Łukasik, Paweł Balawender et al.10 citations
  45. LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study ↗Van Bach Nguyen, Paul Youssef, Christin Seifert et al.10 citations

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