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期刊&会议

Annual Meeting of the Association for Computational Linguistics · 会议 · Natural Language Processing

共收录 10306
2405.20628 2024-07-16 cs.AI cs.CL cs.CV

ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos

Krishanu Maity, A. S. Poornash, Sriparna Saha, Pushpak Bhattacharyya

Comments Accepted as a Long Paper in ACL Findings 2024. For acceptance details, see https://2024.aclweb.org/program/finding_papers/

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2405.17159 2024-07-16 cs.CL cs.CY cs.HC

Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP

Vagrant Gautam, Arjun Subramonian, Anne Lauscher, Os Keyes

Comments Gender Bias in Natural Language Processing Workshop at ACL 2024

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2405.10650 2024-07-16 cs.CL

SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation

Ziyao Xu, Houfeng Wang

Comments Accepted at ACL 2024 main conference

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2401.06310 2024-07-16 cs.CV cs.CL cs.CY

ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation

Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev

Comments Association for Computational Linguistics (ACL) 2024

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2309.01809 2024-07-16 cs.CL

Are Emergent Abilities in Large Language Models just In-Context Learning?

Sheng Lu, Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, Iryna Gurevych

Comments Accepted to ACL 2024

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2407.10021 2024-07-16 cs.CL cs.AI

Document-level Clinical Entity and Relation Extraction via Knowledge Base-Guided Generation

Kriti Bhattarai, Inez Y. Oh, Zachary B. Abrams, Albert M. Lai

Comments Accepted at Association for Computational Linguistics BioNLP 2024

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2403.15042 2024-07-16 cs.CL

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

Comments ACL 2024

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2402.12332 2024-07-16 cs.CL

Triple-Encoders: Representations That Fire Together, Wire Together

Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, Iryna Gurevych

Comments accepted at ACL 2024 (main conference)

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2407.09429 2024-07-15 cs.CL

Open (Clinical) LLMs are Sensitive to Instruction Phrasings

Alberto Mario Ceballos Arroyo, Monica Munnangi, Jiuding Sun, Karen Y. C. Zhang, Denis Jered McInerney, Byron C. Wallace, Silvio Amir

Comments To appear at BioNLP, ACL 2024

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2407.08937 2024-07-15 cs.CL cs.AI

Self-Evolving GPT: A Lifelong Autonomous Experiential Learner

Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin

Comments Accepted by ACL 2024 MAIN

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2407.08819 2024-07-15 cs.CL

Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin

Samuel Frontull, Georg Moser

Comments Accepted to LoResMT 2024 (ACL workshop)

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2404.12065 2024-07-15 cs.CL cs.AI cs.CY cs.ET cs.MA

RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models

M. Abdul Khaliq, P. Chang, M. Ma, B. Pflugfelder, F. Miletić

Comments 8 pages, submitted to ACL Rolling Review June 2024

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2311.09821 2024-07-15 cs.CL

Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning

Qingyu Tan, Hwee Tou Ng, Lidong Bing

Comments To appear in Findings of ACL 2024

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2301.13844 2024-07-15 cs.CL

Do Multi-Document Summarization Models Synthesize?

Jay DeYoung, Stephanie C. Martinez, Iain J. Marshall, Byron C. Wallace

Comments Accepted to TACL, to be presented at ACL 2024 in Bangkok, Thailand. 9 Figures, 11 Tables, 14 pages of main content, 20 pages total. This paper has some _history_. Buy me a drink if you want to hear about it

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2407.08716 2024-07-12 cs.CL

A Taxonomy for Data Contamination in Large Language Models

Medha Palavalli, Amanda Bertsch, Matthew R. Gormley

Comments 19 pages, 8 figures, accepted to CONDA Workshop on Data Contamination @ ACL 2024

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2403.00499 2024-07-12 cs.CL

Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition

Ariel Goldstein, Gabriel Stanovsky

Comments Accepted to Findings of ACL (2024)

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2407.08269 2024-07-12 cs.CL

LLMs' morphological analyses of complex FST-generated Finnish words

Anssi Moisio, Mathias Creutz, Mikko Kurimo

Comments To appear at the CMCL Workshop at ACL 2024

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2403.02178 2024-07-12 cs.CL cs.AI cs.LG

Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models

Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li

Comments Accepted by ACL 2024

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2310.06707 2024-07-12 cs.CL cs.AI

Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model

Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Xavier Garcia, Daniel Cremers

Comments In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)

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2407.07373 2024-07-11 cs.CL cs.LG

Automatic Extraction of Disease Risk Factors from Medical Publications

Maxim Rubchinsky, Ella Rabinovich, Adi Shraibman, Netanel Golan, Tali Sahar, Dorit Shweiki

Comments BioNLP@ACL2024, 12 pages

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2406.02301 2024-07-11 cs.CL

mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models

Huiyuan Lai, Malvina Nissim

Comments Accepted to ACL 2024 main (Corrected Figure 2 (a))

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2405.03138 2024-07-11 cs.CL

CRAFT: Extracting and Tuning Cultural Instructions from the Wild

Bin Wang, Geyu Lin, Zhengyuan Liu, Chengwei Wei, Nancy F. Chen

Comments Aceepted to ACL 2024 Workshop - C3NLP (Workshop on Cross-Cultural Considerations in NLP)

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2403.04325 2024-07-11 cs.CL cs.AI

Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models

Changjiang Gao, Jixing Li, Jiajun Chen, Shujian Huang

Comments Accepted by ACL 2024 (main conference, long paper)

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2403.02502 2024-07-11 cs.CL cs.AI cs.LG

Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents

Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin

Comments Accepted to ACL 2024 Main Conference; Camera Ready

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2402.14848 2024-07-11 cs.CL cs.AI

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Mosh Levy, Alon Jacoby, Yoav Goldberg

Comments Accepted to ACL 2024

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2401.06730 2024-07-11 cs.CL cs.AI cs.HC

Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty

Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap

Comments ACL 2024 (Camera Ready)

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2311.05657 2024-07-11 cs.AI cs.CL cs.LG

Agent Lumos: Unified and Modular Training for Open-Source Language Agents

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

Comments Accepted to ACL 2024 Main Conference; Camera Ready. Project website: https://allenai.github.io/lumos/

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2310.00796 2024-07-11 cs.CL

SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation

Matthias Lindemann, Alexander Koller, Ivan Titov

Comments ACL 2024 camera-ready

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2309.12426 2024-07-11 cs.CL cs.AI

Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges

Vinay Samuel, Houda Aynaou, Arijit Ghosh Chowdhury, Karthik Venkat Ramanan, Aman Chadha

Comments ACL 2024 SRW

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2305.14321 2024-07-11 cs.CL

ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings

William Brannon, Wonjune Kang, Suyash Fulay, Hang Jiang, Brandon Roy, Deb Roy, Jad Kabbara

Comments New visualizations, added references, and an application to community detection. To appear at the TextGraphs workshop @ ACL 2024. 21 pages, 5 figures, 13 tables

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