---
title: "Findings of the Association for Computational Linguistics 2024 —"
description: "All 2,432 papers of Findings of the Association for Computational Linguistics 2024 · page 4 of 25, the most cited first; those with our summary…"
canonical: "https://research.elamur.ai/free/en/venues/findings/2024/papers/page/4/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/findings/2024/papers/page/4/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Findings of the Association for…](https://md.research.elamur.ai/free/en/venues/findings/) / [2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) / [papers](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/) / page 4

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

2,432 papers · page 4 of 25 · the most cited first · [← Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)

[← prev](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/3/) [1](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/) [2](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/2/) [3](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/3/) **4** [5](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/5/) … [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/5/)

301. **[Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning ↗](https://aclanthology.org/2024.findings-emnlp.212/)**Akshara Prabhakar, Thomas L. Griffiths, R. Thomas McCoy*14 citations*
302. **[Does CLIP Bind Concepts? Probing Compositionality in Large Image Models ↗](https://aclanthology.org/2024.findings-eacl.101/)**Martha Lewis, Nihal Nayak, Peilin Yu et al.*14 citations*
303. **[How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States ↗](https://aclanthology.org/2024.findings-emnlp.139/)**Zhenhong Zhou, Haiyang Yu, Xinghua Zhang et al.*14 citations*
304. **[INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair ↗](https://aclanthology.org/2024.findings-acl.124/)**Hanbin Wang, Zhenghao Liu, Shuo Wang et al.*14 citations*
305. **[LM-Cocktail: Resilient Tuning of Language Models via Model Merging ↗](https://aclanthology.org/2024.findings-acl.145/)**Shitao Xiao, Zheng Liu, Peitian Zhang et al.*14 citations*
306. **[Learning to Use Tools via Cooperative and Interactive Agents ↗](https://aclanthology.org/2024.findings-emnlp.624/)**Zhengliang Shi, Shen Gao, Xiuyi Chen et al.*14 citations*
307. **[Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding ↗](https://aclanthology.org/2024.findings-emnlp.582/)**Liang Zhao, Xiachong Feng, Xiaocheng Feng et al.*14 citations*
308. **[Machine-Generated Text Localization ↗](https://aclanthology.org/2024.findings-acl.495/)**Zhongping Zhang, Wenda Qin, Bryan Plummer*14 citations*
309. **[MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate ↗](https://aclanthology.org/2024.findings-emnlp.407/)**Alfonso Amayuelas, Xianjun Yang, Antonis Antoniades et al.*14 citations*
310. **[Penetrative AI: Making LLMs Comprehend the Physical World ↗](https://aclanthology.org/2024.findings-acl.437/)**Huatao Xu, Liying Han, Qirui Yang et al.*14 citations*
311. **[Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios ↗](https://aclanthology.org/2024.findings-acl.259/)**Shijue Huang, Wanjun Zhong, Jianqiao Lu et al.*14 citations*
312. **[RePair: Automated Program Repair with Process-based Feedback ↗](https://aclanthology.org/2024.findings-acl.973/)**Yuze Zhao, Zhenya Huang, Yixiao Ma et al.*14 citations*
313. **[Rethinking Machine Ethics – Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? ↗](https://aclanthology.org/2024.findings-naacl.144/)**Jingyan Zhou, Minda Hu, Junan Li et al.*14 citations*
314. **[STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals ↗](https://aclanthology.org/2024.findings-emnlp.625/)**Weihang Su, Yiran Hu, Anzhe Xie et al.*14 citations*
315. **[Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning ↗](https://aclanthology.org/2024.findings-acl.958/)**Ming Li, Lichang Chen, Jiuhai Chen et al.*14 citations*
316. **[SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis ↗](https://aclanthology.org/2024.findings-acl.289/)**Xulang Zhang, Rui Mao, Erik Cambria*14 citations*
317. **[Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs ↗](https://aclanthology.org/2024.findings-acl.23/)**Naihao Deng, Zhenjie Sun, Ruiqi He et al.*14 citations*
318. **[Task-Agnostic Detector for Insertion-Based Backdoor Attacks ↗](https://aclanthology.org/2024.findings-naacl.179/)**Weimin Lyu, Xiao Lin, Songzhu Zheng et al.*14 citations*
319. **[Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection ↗](https://aclanthology.org/2024.findings-emnlp.693/)**Moxin Li, Wenjie Wang, Fuli Feng et al.*14 citations*
320. **[Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations ↗](https://aclanthology.org/2024.findings-emnlp.161/)**Sukmin Cho, Soyeong Jeong, Jeongyeon Seo et al.*14 citations*
321. **[VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs ↗](https://aclanthology.org/2024.findings-emnlp.384/)**Ruotong Liao, Max Erler, Huiyu Wang et al.*14 citations*
322. **[A Survey on Open Information Extraction from Rule-based Model to Large Language Model ↗](https://aclanthology.org/2024.findings-emnlp.560/)**Liu Pai, Wenyang Gao, Wenjie Dong et al.*13 citations*
323. **[Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-agent-flan-designing-data-methods/)**Zehui Chen, Kuikun Liu, Qiuchen Wang et al.*13 citations · our summary*
324. **[Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration ↗](https://aclanthology.org/2024.findings-emnlp.674/)**Simone Balloccu, Ehud Reiter, Karen Jia-Hui Li et al.*13 citations*
325. **[Ask-before-Plan: Proactive Language Agents for Real-World Planning ↗](https://aclanthology.org/2024.findings-emnlp.636/)**Xuan Zhang, Yang Deng, Zifeng Ren et al.*13 citations*
326. **[Automatic Engineering of Long Prompts ↗](https://aclanthology.org/2024.findings-acl.634/)**Cho-Jui Hsieh, Si Si, Felix Yu et al.*13 citations*
327. **[BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence](https://md.research.elamur.ai/free/en/papers/jin-2024-bider-bridging-knowledge-inconsistency-efficient/)**Jiajie Jin, Yutao Zhu, Yujia Zhou et al.*13 citations · our summary*
328. **[Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk ↗](https://aclanthology.org/2024.findings-acl.566/)**Dennis Ulmer, Elman Mansimov, Kaixiang Lin et al.*13 citations*
329. **[CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection ↗](https://aclanthology.org/2024.findings-acl.617/)**Sirry Chen, Shuo Feng, Liang Songsong et al.*13 citations*
330. **[Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory ↗](https://aclanthology.org/2024.findings-emnlp.832/)**Suyeon Lee, Sunghwan Kim, Minju Kim et al.*13 citations*
331. **[Can LLM Graph Reasoning Generalize beyond Pattern Memorization? ↗](https://aclanthology.org/2024.findings-emnlp.127/)**Yizhuo Zhang, Heng Wang, Shangbin Feng et al.*13 citations*
332. **[Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies ↗](https://aclanthology.org/2024.findings-acl.755/)**Aswin Rrv, Nemika Tyagi, Md Nayem Uddin et al.*13 citations*
333. **[ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering ↗](https://aclanthology.org/2024.findings-emnlp.710/)**Yifan Wu, Lutao Yan, Leixian Shen et al.*13 citations*
334. **[ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline ↗](https://aclanthology.org/2024.findings-emnlp.569/)**Yifan Xu, Xiao Liu, Xinghan Liu et al.*13 citations*
335. **[Data Diversity Matters for Robust Instruction Tuning ↗](https://aclanthology.org/2024.findings-emnlp.195/)**Alexander Bukharin, Shiyang Li, Zhengyang Wang et al.*13 citations*
336. **[DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation ↗](https://aclanthology.org/2024.findings-naacl.199/)**Aru Maekawa, Satoshi Kosugi, Kotaro Funakoshi et al.*13 citations*
337. **[Direct Preference Optimization with an Offset ↗](https://aclanthology.org/2024.findings-acl.592/)**Afra Amini, Tim Vieira, Ryan Cotterell*13 citations*
338. **[Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning ↗](https://aclanthology.org/2024.findings-acl.41/)**Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan et al.*13 citations*
339. **[EchoSight: Advancing Visual-Language Models with Wiki Knowledge ↗](https://aclanthology.org/2024.findings-emnlp.83/)**Yibin Yan, Weidi Xie*13 citations*
340. **[Efficient Knowledge Infusion via KG-LLM Alignment ↗](https://aclanthology.org/2024.findings-acl.176/)**Zhouyu Jiang, Ling Zhong, Mengshu Sun et al.*13 citations*
341. **[Fantastic Semantics and Where to Find Them: Investigating Which Layers of Generative LLMs Reflect Lexical Semantics ↗](https://aclanthology.org/2024.findings-acl.866/)**Zhu Liu, Cunliang Kong, Ying Liu et al.*13 citations*
342. **[FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents ↗](https://aclanthology.org/2024.findings-emnlp.638/)**Ruixuan Xiao, Wentao Ma, Ke Wang et al.*13 citations*
343. **[GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment ↗](https://aclanthology.org/2024.findings-acl.204/)**Yao Yao, Zuchao Li, Hai Zhao*13 citations*
344. **[Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations ↗](https://aclanthology.org/2024.findings-naacl.265/)**Dayeon Ki, Marine Carpuat*13 citations*
345. **[How Does Quantization Affect Multilingual LLMs? ↗](https://aclanthology.org/2024.findings-emnlp.935/)**Kelly Marchisio, Saurabh Dash, Hongyu Chen et al.*13 citations*
346. **[InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment ↗](https://aclanthology.org/2024.findings-acl.801/)**Jianing Wang, Junda Wu, Yupeng Hou et al.*13 citations*
347. **[IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact ↗](https://aclanthology.org/2024.findings-acl.460/)**Ruikang Liu, Haoli Bai, Haokun Lin et al.*13 citations*
348. **[LC4EE: LLMs as Good Corrector for Event Extraction ↗](https://aclanthology.org/2024.findings-acl.715/)**Mengna Zhu, Kaisheng Zeng, JibingWu JibingWu et al.*13 citations*
349. **[LLM Questionnaire Completion for Automatic Psychiatric Assessment ↗](https://aclanthology.org/2024.findings-emnlp.23/)**Gony Rosenman, Talma Hendler, Lior Wolf*13 citations*
350. **[LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity ↗](https://aclanthology.org/2024.findings-emnlp.698/)**Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang et al.*13 citations*
351. **[LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback ↗](https://aclanthology.org/2024.findings-acl.488/)**Wen Lai, Mohsen Mesgar, Alexander Fraser*13 citations*
352. **[Large Language Models for Propaganda Span Annotation ↗](https://aclanthology.org/2024.findings-emnlp.850/)**Maram Hasanain, Fatema Ahmad, Firoj Alam*13 citations*
353. **[Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges ↗](https://aclanthology.org/2024.findings-acl.167/)**Xiaoming Shi, Zeming Liu, Li Du et al.*13 citations*
354. **[MiRAGeNews: Multimodal Realistic AI-Generated News Detection ↗](https://aclanthology.org/2024.findings-emnlp.959/)**Runsheng Huang, Liam Dugan, Yue Yang et al.*13 citations*
355. **[Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements ↗](https://aclanthology.org/2024.findings-acl.375/)**Anton Voronov, Lena Wolf, Max Ryabinin*13 citations*
356. **[NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes ↗](https://aclanthology.org/2024.findings-acl.901/)**Junda Wang, Zonghai Yao, Zhichao Yang et al.*13 citations*
357. **[On the Vulnerability of Safety Alignment in Open-Access LLMs ↗](https://aclanthology.org/2024.findings-acl.549/)**Jingwei Yi, Rui Ye, Qisi Chen et al.*13 citations*
358. **[RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter ↗](https://aclanthology.org/2024.findings-acl.427/)**Meng Cao, Haoran Tang, Jinfa Huang et al.*13 citations*
359. **[Realistic Evaluation of Toxicity in Large Language Models ↗](https://aclanthology.org/2024.findings-acl.61/)**Tinh Luong, Thanh-Thien Le, Linh Ngo et al.*13 citations*
360. **[Resilience of Large Language Models for Noisy Instructions ↗](https://aclanthology.org/2024.findings-emnlp.697/)**Bin Wang, Chengwei Wei, Zhengyuan Liu et al.*13 citations*
361. **[SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions ↗](https://aclanthology.org/2024.findings-emnlp.938/)**Shicheng Liu, Sina Semnani, Harold Triedman et al.*13 citations*
362. **[The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models ↗](https://aclanthology.org/2024.findings-acl.121/)**Shuo Zhang, Liangming Pan, Junzhou Zhao et al.*13 citations*
363. **[The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation ↗](https://aclanthology.org/2024.findings-naacl.56/)**Lei Wang, Ee-Peng Lim*13 citations*
364. **[UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition ↗](https://aclanthology.org/2024.findings-emnlp.355/)**Zhenrong Zhang, Shuhang Liu, Pengfei Hu et al.*13 citations*
365. **[Unified Active Retrieval for Retrieval Augmented Generation ↗](https://aclanthology.org/2024.findings-emnlp.999/)**Qinyuan Cheng, Xiaonan Li, Shimin Li et al.*13 citations*
366. **[Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection ↗](https://aclanthology.org/2024.findings-acl.642/)**Linlin Zong, Jiahui Zhou, Wenmin Lin et al.*13 citations*
367. **[VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft ↗](https://aclanthology.org/2024.findings-acl.964/)**Yubo Dong, Xukun Zhu, Zhengzhe Pan et al.*13 citations*
368. **[When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation ↗](https://aclanthology.org/2024.findings-acl.675/)**Shiyu Ni, Keping Bi, Jiafeng Guo et al.*13 citations*
369. **[“Vorbești Românește?” A Recipe to Train Powerful Romanian LLMs with English Instructions ↗](https://aclanthology.org/2024.findings-emnlp.681/)**Mihai Masala, Denis Ilie-Ablachim, Alexandru Dima et al.*13 citations*
370. **[A Two-Stage Adaptation of Large Language Models for Text Ranking ↗](https://aclanthology.org/2024.findings-acl.706/)**Longhui Zhang, Yanzhao Zhang, Dingkun Long et al.*12 citations*
371. **[Aligning Large Language Models with Recommendation Knowledge ↗](https://aclanthology.org/2024.findings-naacl.67/)**Yuwei Cao, Nikhil Mehta, Xinyang Yi et al.*12 citations*
372. **[Are Decoder-Only Language Models Better than Encoder-Only Language Models in Understanding Word Meaning? ↗](https://aclanthology.org/2024.findings-acl.967/)**Muhammad Reza Qorib, Geonsik Moon, Hwee Tou Ng*12 citations*
373. **[Better Synthetic Data by Retrieving and Transforming Existing Datasets ↗](https://aclanthology.org/2024.findings-acl.385/)**Saumya Gandhi, Ritu Gala, Vijay Viswanathan et al.*12 citations*
374. **[Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration ↗](https://aclanthology.org/2024.findings-emnlp.445/)**Weikang Yuan, Junjie Cao, Zhuoren Jiang et al.*12 citations*
375. **[Chain of Logic: Rule-Based Reasoning with Large Language Models ↗](https://aclanthology.org/2024.findings-acl.159/)**Sergio Servantez, Joe Barrow, Kristian Hammond et al.*12 citations*
376. **[Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration ↗](https://aclanthology.org/2024.findings-acl.421/)**Sunhao Dai, Weihao Liu, Yuqi Zhou et al.*12 citations*
377. **[CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code ↗](https://aclanthology.org/2024.findings-emnlp.541/)**Batu Guan, Yao Wan, Zhangqian Bi et al.*12 citations*
378. **[DB-LLM: Accurate Dual-Binarization for Efficient LLMs ↗](https://aclanthology.org/2024.findings-acl.516/)**Hong Chen, Chengtao Lv, Liang Ding et al.*12 citations*
379. **[Dense Passage Retrieval: Is it Retrieving? ↗](https://aclanthology.org/2024.findings-emnlp.791/)**Benjamin Reichman, Larry Heck*12 citations*
380. **[EvoR: Evolving Retrieval for Code Generation ↗](https://aclanthology.org/2024.findings-emnlp.143/)**Hongjin Su, Shuyang Jiang, Yuhang Lai et al.*12 citations*
381. **[Exploring the Best Practices of Query Expansion with Large Language Models ↗](https://aclanthology.org/2024.findings-emnlp.103/)**Le Zhang, Yihong Wu, Qian Yang et al.*12 citations*
382. **[Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting ↗](https://aclanthology.org/2024.findings-emnlp.400/)**Marco Naguib, Xavier Tannier, Aurélie Névéol*12 citations*
383. **[Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification ↗](https://aclanthology.org/2024.findings-emnlp.974/)**Zeren Shui, Petros Karypis, Daniel S. Karls et al.*12 citations*
384. **[From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Items ↗](https://aclanthology.org/2024.findings-emnlp.299/)**Melissa Roemmele, Andrew Gordon*12 citations*
385. **[GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models ↗](https://aclanthology.org/2024.findings-emnlp.746/)**Shilong Li, Yancheng He, Hangyu Guo et al.*12 citations*
386. **[Hire a Linguist!: Learning Endangered Languages in LLMs with In-Context Linguistic Descriptions ↗](https://aclanthology.org/2024.findings-acl.925/)**Kexun Zhang, Yee Man Choi, Zhenqiao Song et al.*12 citations*
387. **[How Does In-Context Learning Help Prompt Tuning? ↗](https://aclanthology.org/2024.findings-eacl.11/)**Simeng Sun, Yang Liu, Dan Iter et al.*12 citations*
388. **[Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs? ↗](https://aclanthology.org/2024.findings-emnlp.460/)**Yinhao Bai, Zhixin Han, Yuhua Zhao et al.*12 citations*
389. **[LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning ↗](https://aclanthology.org/2024.findings-emnlp.519/)**Jiachun Li, Pengfei Cao, Chenhao Wang et al.*12 citations*
390. **[LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ↗](https://aclanthology.org/2024.findings-acl.224/)**Kai Wang, Yuwei Xu, Zhiyong Wu et al.*12 citations*
391. **[LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments ↗](https://aclanthology.org/2024.findings-emnlp.844/)**Ruirui Chen, Weifeng Jiang, Chengwei Qin et al.*12 citations*
392. **[LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores ↗](https://aclanthology.org/2024.findings-acl.753/)**Yiqi Liu, Nafise Moosavi, Chenghua Lin*12 citations*
393. **[LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models ↗](https://aclanthology.org/2024.findings-acl.416/)**Xi Chen, Songyang Zhang, Qibing Bai et al.*12 citations*
394. **[Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs ↗](https://aclanthology.org/2024.findings-emnlp.459/)**Junjie Wang, Mingyang Chen, Binbin Hu et al.*12 citations*
395. **[Low-Rank Adaptation for Multilingual Summarization: An Empirical Study ↗](https://aclanthology.org/2024.findings-naacl.77/)**Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings et al.*12 citations*
396. **[Model Editing at Scale leads to Gradual and Catastrophic Forgetting ↗](https://aclanthology.org/2024.findings-acl.902/)**Akshat Gupta, Anurag Rao, Gopala Anumanchipalli*12 citations*
397. **[Modeling the Sacred: Considerations when Using Religious Texts in Natural Language Processing ↗](https://aclanthology.org/2024.findings-naacl.65/)**Ben Hutchinson*12 citations*
398. **[NLP for Counterspeech against Hate: A Survey and How-To Guide ↗](https://aclanthology.org/2024.findings-naacl.221/)**Helena Bonaldi, Yi-Ling Chung, Gavin Abercrombie et al.*12 citations*
399. **[On Leakage of Code Generation Evaluation Datasets ↗](https://aclanthology.org/2024.findings-emnlp.772/)**Alexandre Matton, Tom Sherborne, Dennis Aumiller et al.*12 citations*
400. **[One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks ↗](https://aclanthology.org/2024.findings-emnlp.805/)**Sebastian Nehrdich, Oliver Hellwig, Kurt Keutzer*12 citations*

[← prev](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/3/) [1](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/) [2](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/2/) [3](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/3/) **4** [5](https://md.research.elamur.ai/free/en/venues/findings/2024/papers/page/5/) … [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/5/)

- [← back to](https://md.research.elamur.ai/free/en/venues/findings/2024/) — Findings of the Association for Computational Linguistics 2024