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title: "Findings of the Association for Computational Linguistics 2024 —"
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# Findings of the Association for Computational Linguistics 2024: all accepted papers

2,432 papers · page 1 of 25 · the most cited first · [← Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)

**1** [2](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/10/) … [25](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/25/) [next →](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/2/)

1. **[M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/chen-2024-m3-embedding-multi-linguality/)**Jianlyu Chen, Shitao Xiao, Peitian Zhang et al.*700 citations · our summary*
2. **[Sentiment Analysis in the Era of Large Language Models: A Reality Check](https://md.research.elamur.ai/free/en/papers/zhang-2023-sentiment-analysis-era-large-language/)**Wenxuan Zhang, Yue Deng, Bing Liu et al.*359 citations · our summary*
3. **[Benchmarking Retrieval-Augmented Generation for Medicine](https://md.research.elamur.ai/free/en/papers/xiong-2024-benchmarking-retrieval-augmented-generation-medicine/)**Guangzhi Xiong, Qiao Jin, Zhiyong Lu et al.*299 citations · our summary*
4. **[Chain-of-Verification Reduces Hallucination in Large Language Models ↗](https://aclanthology.org/2024.findings-acl.212/)**Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu et al.*253 citations*
5. **[BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains](https://md.research.elamur.ai/free/en/papers/labrak-2024-biomistral-collection-open-source-pretrained/)**Yanis Labrak, Adrien Bazoge, Emmanuel Morin et al.*250 citations · our summary*
6. **[MM-LLMs: Recent Advances in MultiModal Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2024-mm-llms-recent-advances-multimodal/)**Duzhen Zhang, Yahan Yu, Jiahua Dong et al.*250 citations · our summary*
7. **[AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models](https://md.research.elamur.ai/free/en/papers/zhong-2024-agieval-human-centric-benchmark-evaluating/)**Wanjun Zhong, Ruixiang Cui, Yiduo Guo et al.*199 citations · our summary*
8. **[The Effect of Sampling Temperature on Problem Solving in Large Language Models](https://md.research.elamur.ai/free/en/papers/renze-2024-effect-sampling-temperature-problem-solving/)**Matthew Renze*198 citations · our summary*
9. **[Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis](https://md.research.elamur.ai/free/en/papers/zhu-2024-multilingual-machine-translation-large-language/)**Wenhao Zhu, Hongyi Liu, Qingxiu Dong et al.*181 citations · our summary*
10. **[Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting](https://md.research.elamur.ai/free/en/papers/qin-2024-large-language-models-are-effective/)**Zhen Qin, Rolf Jagerman, Kai Hui et al.*154 citations · our summary*
11. **[emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation ↗](https://aclanthology.org/2024.findings-acl.931/)**Ziyang Ma, Zhisheng Zheng, Jiaxin Ye et al.*150 citations*
12. **[MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning](https://md.research.elamur.ai/free/en/papers/tang-2024-medagents-large-language-models-as/)**Xiangru Tang, Anni Zou, Zhuosheng Zhang et al.*149 citations · our summary*
13. **[LLM-Rec: Personalized Recommendation via Prompting Large Language Models ↗](https://aclanthology.org/2024.findings-naacl.39/)**Hanjia Lyu, Song Jiang, Hanqing Zeng et al.*142 citations*
14. **[Aligning Large Multimodal Models with Factually Augmented RLHF ↗](https://aclanthology.org/2024.findings-acl.775/)**Zhiqing Sun, Sheng Shen, Shengcao Cao et al.*134 citations*
15. **[LLM-QAT: Data-Free Quantization Aware Training for Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2024-llm-qat-data-free-quantization/)**Zechun Liu, Barlas Oguz, Changsheng Zhao et al.*127 citations · our summary*
16. **[InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents](https://md.research.elamur.ai/free/en/papers/zhan-2024-injecagent-benchmarking-indirect-prompt-injections/)**Qiusi Zhan, Zhixiang Liang, Zifan Ying et al.*124 citations · our summary*
17. **[On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey](https://md.research.elamur.ai/free/en/papers/long-2024-llms-driven-synthetic-data-generation/)**Lin Long, Rui Wang, Ruixuan Xiao et al.*123 citations · our summary*
18. **[PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits ↗](https://aclanthology.org/2024.findings-naacl.229/)**Hang Jiang, Xiajie Zhang, Xubo Cao et al.*118 citations*
19. **[RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models ↗](https://aclanthology.org/2024.findings-acl.878/)**Noah Wang, Z.Y. Peng, Haoran Que et al.*111 citations*
20. **[The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ↗](https://aclanthology.org/2024.findings-acl.267/)**Shenglai Zeng, Jiankun Zhang, Pengfei He et al.*102 citations*
21. **[CMMLU: Measuring massive multitask language understanding in Chinese](https://md.research.elamur.ai/free/en/papers/li-2023-cmmlu-measuring-massive-multitask-language/)**Haonan Li, Yixuan Zhang, Fajri Koto et al.*100 citations · our summary*
22. **[Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges ↗](https://aclanthology.org/2024.findings-acl.97/)**Bosheng Ding, Chengwei Qin, Ruochen Zhao et al.*98 citations*
23. **[Prompt Engineering a Prompt Engineer ↗](https://aclanthology.org/2024.findings-acl.21/)**Qinyuan Ye, Mohamed Ahmed, Reid Pryzant et al.*97 citations*
24. **[The Revolution of Multimodal Large Language Models: A Survey ↗](https://aclanthology.org/2024.findings-acl.807/)**Davide Caffagni, Federico Cocchi, Luca Barsellotti et al.*89 citations*
25. **[Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization](https://md.research.elamur.ai/free/en/papers/tseng-2024-two-tales-persona-llms-survey/)**Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao et al.*85 citations · our summary*
26. **[Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions](https://md.research.elamur.ai/free/en/papers/pezeshkpour-2023-large-language-models-sensitivity-order/)**Pouya Pezeshkpour, Estevam Hruschka*80 citations · our summary*
27. **[ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models ↗](https://aclanthology.org/2024.findings-acl.122/)**Haoran Luo, Haihong E, Zichen Tang et al.*79 citations*
28. **[When “A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models ↗](https://aclanthology.org/2024.findings-emnlp.888/)**Mingqian Zheng, Jiaxin Pei, Lajanugen Logeswaran et al.*75 citations*
29. **[RecMind: Large Language Model Powered Agent For Recommendation ↗](https://aclanthology.org/2024.findings-naacl.271/)**Yancheng Wang, Ziyan Jiang, Zheng Chen et al.*74 citations*
30. **[ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs ↗](https://aclanthology.org/2024.findings-emnlp.108/)**Jingming Zhuo, Songyang Zhang, Xinyu Fang et al.*72 citations*
31. **[Benchmarking Cognitive Biases in Large Language Models as Evaluators ↗](https://aclanthology.org/2024.findings-acl.29/)**Ryan Koo, Minhwa Lee, Vipul Raheja et al.*70 citations*
32. **[DTS-SQL: Decomposed Text-to-SQL with Small Large Language Models ↗](https://aclanthology.org/2024.findings-emnlp.481/)**Mohammadreza Pourreza, Davood Rafiei*69 citations*
33. **[FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation ↗](https://aclanthology.org/2024.findings-acl.813/)**Tu Vu, Mohit Iyyer, Xuezhi Wang et al.*69 citations*
34. **[A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models ↗](https://aclanthology.org/2024.findings-acl.443/)**Zihao Xu, Yi Liu, Gelei Deng et al.*68 citations*
35. **[Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step ↗](https://aclanthology.org/2024.findings-acl.49/)**Li Zhong, Zilong Wang, Jingbo Shang*67 citations*
36. **[Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding ↗](https://aclanthology.org/2024.findings-acl.937/)**Xintong Wang, Jingheng Pan, Liang Ding et al.*67 citations*
37. **[A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models ↗](https://aclanthology.org/2024.findings-emnlp.685/)**Pranab Sahoo, Prabhash Meharia, Akash Ghosh et al.*64 citations*
38. **[Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models ↗](https://aclanthology.org/2024.findings-emnlp.221/)**Songtao Jiang, Tuo Zheng, Yan Zhang et al.*63 citations*
39. **[LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ↗](https://aclanthology.org/2024.findings-acl.178/)**Mingyang Zhang, Hao Chen, Chunhua Shen et al.*61 citations*
40. **[Cognitive Bias in Decision-Making with LLMs ↗](https://aclanthology.org/2024.findings-emnlp.739/)**Jessica Maria Echterhoff, Yao Liu, Abeer Alessa et al.*60 citations*
41. **[Scaling Sentence Embeddings with Large Language Models](https://md.research.elamur.ai/free/en/papers/jiang-2024-scaling-sentence-embeddings-large-language/)**Ting Jiang, Shaohan Huang, Zhongzhi Luan et al.*59 citations · our summary*
42. **[GREEN: Generative Radiology Report Evaluation and Error Notation ↗](https://aclanthology.org/2024.findings-emnlp.21/)**Sophie Ostmeier, Justin Xu, Zhihong Chen et al.*56 citations*
43. **[Small Models are Valuable Plug-ins for Large Language Models ↗](https://aclanthology.org/2024.findings-acl.18/)**Canwen Xu, Yichong Xu, Shuohang Wang et al.*56 citations*
44. **[WavLLM: Towards Robust and Adaptive Speech Large Language Model ↗](https://aclanthology.org/2024.findings-emnlp.263/)**Shujie Hu, Long Zhou, Shujie Liu et al.*56 citations*
45. **[mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding](https://md.research.elamur.ai/free/en/papers/hu-2024-mplug-docowl-1-5-unified/)**Anwen Hu, Haiyang Xu, Jiabo Ye et al.*55 citations · our summary*
46. **[DebugBench: Evaluating Debugging Capability of Large Language Models ↗](https://aclanthology.org/2024.findings-acl.247/)**Runchu Tian, Yining Ye, Yujia Qin et al.*54 citations*
47. **[DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection ↗](https://aclanthology.org/2024.findings-acl.155/)**Herun Wan, Shangbin Feng, Zhaoxuan Tan et al.*53 citations*
48. **[A Comprehensive Evaluation of Quantization Strategies for Large Language Models ↗](https://aclanthology.org/2024.findings-acl.726/)**Renren Jin, Jiangcun Du, Wuwei Huang et al.*52 citations*
49. **[MMedAgent: Learning to Use Medical Tools with Multi-modal Agent ↗](https://aclanthology.org/2024.findings-emnlp.510/)**Binxu Li, Tiankai Yan, Yuanting Pan et al.*52 citations*
50. **[LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression](https://md.research.elamur.ai/free/en/papers/pan-2024-llmlingua-2-data-distillation-efficient/)**Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang et al.*51 citations · our summary*
51. **[Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models ↗](https://aclanthology.org/2024.findings-acl.716/)**Yihong Dong, Xue Jiang, Huanyu Liu et al.*50 citations*
52. **[GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models ↗](https://aclanthology.org/2024.findings-naacl.268/)**Ruotong Liao, Xu Jia, Yangzhe Li et al.*47 citations*
53. **[GoT: Effective Graph-of-Thought Reasoning in Language Models ↗](https://aclanthology.org/2024.findings-naacl.183/)**Yao Yao, Zuchao Li, Hai Zhao*47 citations*
54. **[Simulating Opinion Dynamics with Networks of LLM-based Agents ↗](https://aclanthology.org/2024.findings-naacl.211/)**Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka et al.*47 citations*
55. **[Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding](https://md.research.elamur.ai/free/en/papers/xia-2024-unlocking-efficiency-large-language-model/)**Heming Xia, Zhe Yang, Qingxiu Dong et al.*47 citations · our summary*
56. **[SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support](https://md.research.elamur.ai/free/en/papers/qiu-2024-smile-single-turn-multi-turn/)**Huachuan Qiu, Hongliang He, Shuai Zhang et al.*46 citations · our summary*
57. **[The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance ↗](https://aclanthology.org/2024.findings-acl.275/)**Abel Salinas, Fred Morstatter*46 citations*
58. **[Visual In-Context Learning for Large Vision-Language Models ↗](https://aclanthology.org/2024.findings-acl.940/)**Yucheng Zhou, Xiang Li, Qianning Wang et al.*46 citations*
59. **[XRec: Large Language Models for Explainable Recommendation ↗](https://aclanthology.org/2024.findings-emnlp.22/)**Qiyao Ma, Xubin Ren, Chao Huang*46 citations*
60. **[Knowledge-Guided Dynamic Modality Attention Fusion Framework for Multimodal Sentiment Analysis ↗](https://aclanthology.org/2024.findings-emnlp.865/)**Xinyu Feng, Yuming Lin, Lihua He et al.*45 citations*
61. **[TempCompass: Do Video LLMs Really Understand Videos? ↗](https://aclanthology.org/2024.findings-acl.517/)**Yuanxin Liu, Shicheng Li, Yi Liu et al.*45 citations*
62. **[Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models](https://md.research.elamur.ai/free/en/papers/su-2024-unsupervised-real-time-hallucination-detection/)**Weihang Su, Changyue Wang, Qingyao Ai et al.*45 citations · our summary*
63. **[Benchmarking Machine Translation with Cultural Awareness](https://md.research.elamur.ai/free/en/papers/yao-2023-benchmarking-machine-translation-cultural-awareness/)**Binwei Yao, Ming Jiang, Tara Bobinac et al.*44 citations · our summary*
64. **[DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories ↗](https://aclanthology.org/2024.findings-acl.214/)**Jia Li, Ge Li, Yunfei Zhao et al.*43 citations*
65. **[OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement ↗](https://aclanthology.org/2024.findings-acl.762/)**Tianyu Zheng, Ge Zhang, Tianhao Shen et al.*43 citations*
66. **[Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering ↗](https://aclanthology.org/2024.findings-emnlp.95/)**Yubo Wang, Xueguang Ma, Wenhu Chen*42 citations*
67. **[ChartAssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning ↗](https://aclanthology.org/2024.findings-acl.463/)**Fanqing Meng, Wenqi Shao, Quanfeng Lu et al.*42 citations*
68. **[OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models ↗](https://aclanthology.org/2024.findings-naacl.24/)**Yuxuan Kuang, Hai Lin, Meng Jiang*42 citations*
69. **[R-Judge: Benchmarking Safety Risk Awareness for LLM Agents](https://md.research.elamur.ai/free/en/papers/yuan-2024-r-judge-benchmarking-safety-risk/)**Tongxin Yuan, Zhiwei He, Lingzhong Dong et al.*42 citations · our summary*
70. **[Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs](https://md.research.elamur.ai/free/en/papers/jin-2024-graph-chain-thought-augmenting-large/)**Bowen Jin, Chulin Xie, Jiawei Zhang et al.*41 citations · our summary*
71. **[HoneyComb: A Flexible LLM-Based Agent System for Materials Science ↗](https://aclanthology.org/2024.findings-emnlp.192/)**Huan Zhang, Yu Song, Ziyu Hou et al.*41 citations*
72. **[Adapting Fake News Detection to the Era of Large Language Models ↗](https://aclanthology.org/2024.findings-naacl.95/)**Jinyan Su, Claire Cardie, Preslav Nakov*40 citations*
73. **[CLGSI: A Multimodal Sentiment Analysis Framework based on Contrastive Learning Guided by Sentiment Intensity ↗](https://aclanthology.org/2024.findings-naacl.135/)**Yang Yang, Xunde Dong, Yupeng Qiang*40 citations*
74. **[Can AI Relate: Testing Large Language Model Response for Mental Health Support ↗](https://aclanthology.org/2024.findings-emnlp.120/)**Saadia Gabriel, Isha Puri, Xuhai Xu et al.*40 citations*
75. **[ChatMusician: Understanding and Generating Music Intrinsically with LLM ↗](https://aclanthology.org/2024.findings-acl.373/)**Ruibin Yuan, Hanfeng Lin, Yi Wang et al.*40 citations*
76. **[Composite Backdoor Attacks Against Large Language Models ↗](https://aclanthology.org/2024.findings-naacl.94/)**Hai Huang, Zhengyu Zhao, Michael Backes et al.*40 citations*
77. **[AgentTuning: Enabling Generalized Agent Abilities for LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2023-agenttuning-enabling-generalized-agent/)**Aohan Zeng, Mingdao Liu, Rui Lu et al.*38 citations · our summary*
78. **[LMDX: Language Model-based Document Information Extraction and Localization ↗](https://aclanthology.org/2024.findings-acl.899/)**Vincent Perot, Kai Kang, Florian Luisier et al.*37 citations*
79. **[CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling ↗](https://aclanthology.org/2024.findings-acl.830/)**Chenhao Zhang, Renhao Li, Minghuan Tan et al.*36 citations*
80. **[FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models ↗](https://aclanthology.org/2024.findings-acl.774/)**Gagan Bhatia, El Moatez Billah Nagoudi, Hasan Cavusoglu et al.*36 citations*
81. **[LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning ↗](https://aclanthology.org/2024.findings-emnlp.60/)**Silin Meng, Yiwei Wang, Cheng-Fu Yang et al.*36 citations*
82. **[MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning ↗](https://aclanthology.org/2024.findings-emnlp.994/)**Jingfan Zhang, Yi Zhao, Dan Chen et al.*36 citations*
83. **[PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs ↗](https://aclanthology.org/2024.findings-acl.400/)**Jiuzhou Han, Nigel Collier, Wray Buntine et al.*36 citations*
84. **[Unleashing Large Language Models' Proficiency in Zero-shot Essay Scoring ↗](https://aclanthology.org/2024.findings-emnlp.10/)**Sanwoo Lee, Yida Cai, Desong Meng et al.*36 citations*
85. **[DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature ↗](https://aclanthology.org/2024.findings-emnlp.119/)**Dawei Li, Shu Yang, Zhen Tan et al.*35 citations*
86. **[MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization ↗](https://aclanthology.org/2024.findings-acl.701/)**Zhiyu Yang, Zihan Zhou, Shuo Wang et al.*35 citations*
87. **[RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback ↗](https://aclanthology.org/2024.findings-acl.281/)**Yanming Liu, Xinyue Peng, Xuhong Zhang et al.*35 citations*
88. **[Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-self-checker-plug-play-modules/)**Miaoran Li, Baolin Peng, Michel Galley et al.*35 citations · our summary*
89. **[The Impact of Reasoning Step Length on Large Language Models](https://md.research.elamur.ai/free/en/papers/jin-2024-impact-reasoning-step-length-large/)**Mingyu Jin, Qinkai Yu, Dong Shu et al.*35 citations · our summary*
90. **[Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm ↗](https://aclanthology.org/2024.findings-acl.641/)**Yuanzhen Xie, Xinzhou Jin, Tao Xie et al.*34 citations*
91. **[POSIX: A Prompt Sensitivity Index For Large Language Models ↗](https://aclanthology.org/2024.findings-emnlp.852/)**Anwoy Chatterjee, H S V N S Kowndinya Renduchintala, Sumit Bhatia et al.*34 citations*
92. **[mABC: Multi-Agent Blockchain-inspired Collaboration for Root Cause Analysis in Micro-Services Architecture ↗](https://aclanthology.org/2024.findings-emnlp.232/)**Wei Zhang, Hongcheng Guo, Jian Yang et al.*34 citations*
93. **[ADaPT: As-Needed Decomposition and Planning with Language Models](https://md.research.elamur.ai/free/en/papers/prasad-2024-adapt-as-needed-decomposition-planning/)**Archiki Prasad, Alexander Koller, Mareike Hartmann et al.*33 citations · our summary*
94. **[Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning ↗](https://aclanthology.org/2024.findings-acl.625/)**Xiaohu Du, Ming Wen, Jiahao Zhu et al.*33 citations*
95. **[LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ↗](https://aclanthology.org/2024.findings-acl.466/)**Haoxin Liu, Zhiyuan Zhao, Jindong Wang et al.*33 citations*
96. **[SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-salad-bench-hierarchical-comprehensive-safety/)**Lijun Li, Bowen Dong, Ruohui Wang et al.*33 citations · our summary*
97. **[Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation ↗](https://aclanthology.org/2024.findings-acl.285/)**Xinyi Mou, Zhongyu Wei, Xuanjing Huang*33 citations*
98. **[Do Language Models Know When They're Hallucinating References? ↗](https://aclanthology.org/2024.findings-eacl.62/)**Ayush Agrawal, Mirac Suzgun, Lester Mackey et al.*32 citations*
99. **[Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2024-math-llava-bootstrapping-mathematical-reasoning/)**Wenhao Shi, Zhiqiang Hu, Yi Bin et al.*32 citations · our summary*
100. **[Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2024-error-analysis-prompting-enables-human/)**Qingyu Lu, Baopu Qiu, Liang Ding et al.*31 citations · our summary*

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