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期刊&会议

Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing

共收录 7868
2310.05210 2023-10-11 cs.AI cs.CL

TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining

Qing Zong, Zhaowei Wang, Baixuan Xu, Tianshi Zheng, Haochen Shi, Weiqi Wang, Yangqiu Song, Ginny Y. Wong, Simon See

Comments Accepted to the 10th Workshop on Argument Mining, co-located with EMNLP 2023

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2305.14210 2023-10-11 cs.CL cs.AI

Skill-Based Few-Shot Selection for In-Context Learning

Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou

Comments Accepted by EMNLP 2023 main conference

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2305.13160 2023-10-11 cs.CL

Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate

Boshi Wang, Xiang Yue, Huan Sun

Comments EMNLP-23 (findings)

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2305.12660 2023-10-11 cs.CL cs.AI

Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction

Siyu Yuan, Jiangjie Chen, Xuyang Ge, Yanghua Xiao, Deqing Yang

Comments Accepted to EMNLP 2023 (Findings)

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2304.04193 2023-10-11 cs.CL

Extractive Summarization via ChatGPT for Faithful Summary Generation

Haopeng Zhang, Xiao Liu, Jiawei Zhang

Comments Findings of EMNLP 2023

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2212.07220 2023-10-11 cs.CL cs.AI

Understanding Translationese in Cross-Lingual Summarization

Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li, Jie Zhou

Comments Accepted to the Findings of EMNLP 2023

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2310.05881 2023-10-10 cs.CV cs.CL

Controllable Chest X-Ray Report Generation from Longitudinal Representations

Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeffrey Dalton, Alison Q O'Neil

Comments Accepted to the Findings of EMNLP 2023

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2310.05657 2023-10-10 cs.CL

A Closer Look into Automatic Evaluation Using Large Language Models

Cheng-Han Chiang, Hung-yi Lee

Comments EMNLP 2023 findings (short paper). Code: https://github.com/d223302/A-Closer-Look-To-LLM-Evaluation/

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2310.05553 2023-10-10 cs.CL

Regulation and NLP (RegNLP): Taming Large Language Models

Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis, Sofia Ranchordas, Gerasimos Spanakis

Comments 9 pages, long paper at EMNLP 2023 proceedings

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2310.05481 2023-10-10 cs.CL cs.AI

Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces

Usashi Chatterjee, Amit Gajbhiye, Steven Schockaert

Comments Accepted for EMNLP 2023

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2310.05424 2023-10-10 cs.CL

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding

Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun

Comments EMNLP 2023 (Long)

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2310.05418 2023-10-10 cs.CL cs.AI cs.HC

Humanoid Agents: Platform for Simulating Human-like Generative Agents

Zhilin Wang, Yu Ying Chiu, Yu Cheung Chiu

Comments Accepted at EMNLP System Demonstrations 2023

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2310.05344 2023-10-10 cs.CL cs.AI cs.LG

SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev

Comments Findings of EMNLP 2023

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2305.14835 2023-10-10 cs.CL

SummIt: Iterative Text Summarization via ChatGPT

Haopeng Zhang, Xiao Liu, Jiawei Zhang

Comments Findings of EMNLP 2023

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2305.05181 2023-10-10 cs.CL cs.AI

MoT: Memory-of-Thought Enables ChatGPT to Self-Improve

Xiaonan Li, Xipeng Qiu

Comments Accepted to appear at EMNLP 2023

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2304.01933 2023-10-10 cs.CL

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee

Comments EMNLP 2023. The code of our framework can be found at AGI-Edgerunners/LLM-Adapters" target="_blank" rel="noopener">https://github.com/AGI-Edgerunners/LLM-Adapters. We will keep all of the code open-source and continue to update the framework with new adapters, LLMs, and tasks

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2302.13539 2023-10-10 cs.CL

Finding Support Examples for In-Context Learning

Xiaonan Li, Xipeng Qiu

Comments Accepted to the Findings of EMNLP 2023

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2302.08817 2023-10-10 cs.CL cs.AI

Natural Response Generation for Chinese Reading Comprehension

Nuo Chen, Hongguang Li, Yinan Bao, Baoyuan Wang, Jia Li

Comments 15 pages

Journal ref EMNLP 2023

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2211.07624 2023-10-10 cs.CL

Semantic Similarity Models for Depression Severity Estimation

Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych

Comments Accepted at the EMNLP 2023 conference

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2211.06869 2023-10-10 cs.CL cs.AI

Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters

Nuo Chen, Yan Wang, Haiyun Jiang, Deng Cai, Yuhan Li, Ziyang Chen, Longyue Wang, Jia Li

Comments 14 pages

Journal ref EMNLP 2023

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2310.05294 2023-10-10 cs.CL

Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus

Andrea Piergentili, Beatrice Savoldi, Dennis Fucci, Matteo Negri, Luisa Bentivogli

Comments Accepted at EMNLP 2023

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2310.05235 2023-10-10 cs.CL cs.SD eess.AS

XLS-R fine-tuning on noisy word boundaries for unsupervised speech segmentation into words

Robin Algayres, Pablo Diego-Simon, Benoit Sagot, Emmanuel Dupoux

Comments Findings at EMNLP 2023

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2310.05224 2023-10-10 cs.CL cs.LG

Generative Spoken Language Model based on continuous word-sized audio tokens

Robin Algayres, Yossi Adi, Tu Anh Nguyen, Jade Copet, Gabriel Synnaeve, Benoit Sagot, Emmanuel Dupoux

Comments Conference paper at EMNLP 2023

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2310.05157 2023-10-10 cs.CL cs.AI

MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models

Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu

Comments Accepted to EMNLP 2023 Findings

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2310.05095 2023-10-10 cs.CL cs.AI

How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts

Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu

Comments Accepted to EMNLP 2023 (Findings)

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2310.05083 2023-10-10 cs.LG cs.AI cs.CL

FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score

Haowei Lin, Yuntian Gu

Journal ref EMNLP 2023

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2310.05073 2023-10-10 cs.CL

Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information

Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang

Comments EMNLP 2023

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2310.04592 2023-10-10 cs.CL cs.HC

From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context

Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu

Comments EMNLP 2023 (Demo Track)

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2308.04665 2023-10-10 cs.CL

Sudowoodo: a Chinese Lyric Imitation System with Source Lyrics

Yongzhu Chang, Rongsheng Zhang, Lin Jiang, Qihang Chen, Le Zhang, Jiashu Pu

Comments 7 pages,3 figures, submit to emnlp 2023 demo track

Journal ref publish EMNLP 2023

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2305.11366 2023-10-10 cs.CL

AutoTrial: Prompting Language Models for Clinical Trial Design

Zifeng Wang, Cao Xiao, Jimeng Sun

Comments EMNLP 2023 Main

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