ACL

Paraphrasing in Affirmative Terms Improves Negation Understanding

MohammadHossein Rezaei, Eduardo Blanco

Comments Accepted to ACL 2024

On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations

Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen

Comments Accepted to ACL 2024 Findings

BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction

Yinhao Bai, Yalan Xie, Xiaoyi Liu, Yuhua Zhao, Zhixin Han, Mengting Hu, Hang Gao, Renhong Cheng

Comments Accepted to ACL 2024 Main Conference

CTC-based Non-autoregressive Textless Speech-to-Speech Translation

Qingkai Fang, Zhengrui Ma, Yan Zhou, Min Zhang, Yang Feng

Comments ACL 2024 Findings

Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data?

Qingkai Fang, Shaolei Zhang, Zhengrui Ma, Min Zhang, Yang Feng

Comments ACL 2024 main conference. Project Page: https://ictnlp.github.io/ComSpeech-Site/

Teaching Language Models to Self-Improve by Learning from Language Feedback

Chi Hu, Yimin Hu, Hang Cao, Tong Xiao, Jingbo Zhu

Comments Findings of ACL 2024

T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text

Aoxiong Yin, Haoyuan Li, Kai Shen, Siliang Tang, Yueting Zhuang

Comments Accepted by ACL 2024

Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning

Menglong Cui, Jiangcun Du, Shaolin Zhu, Deyi Xiong

Comments Accepted to ACL2024 long paper (Findings)

DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs

Haishuo Fang, Xiaodan Zhu, Iryna Gurevych

Comments Accepted by ACL2024 findings

Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model

Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, Min Zhang

Comments Accepted by ACL2024 Findings

Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning

Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park

Comments Accepted to ACL 2024 Findings

Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference

Jihwan Bang, Juntae Lee, Kyuhong Shim, Seunghan Yang, Simyung Chang

Comments ACL 2024 Main

Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models

Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng, Wenfeng xie, Dangyang Chen

Comments ACL2024 findings

PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning

Xiaoqi Qiu, Yongjie Wang, Xu Guo, Zhiwei Zeng, Yue Yu, Yuhong Feng, Chunyan Miao

Comments Accepted by ACL 2024 main conference

Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining

Shuqi Liu, Bowei He, Linqi Song

Comments Accepted by ACL 2024

Faithful Logical Reasoning via Symbolic Chain-of-Thought

Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu

Comments Accepted by ACL 2024 (main proceeding)

Understanding Cross-Lingual Alignment -- A Survey

Katharina Hämmerl, Jindřich Libovický, Alexander Fraser

Comments Camera-ready version, ACL Findings 2024

Budget-Constrained Tool Learning with Planning

Yuanhang Zheng, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

Comments Accepted for Findings of ACL 2024

Machine-Generated Text Localization

Zhongping Zhang, Wenda Qin, Bryan A. Plummer

Comments ACL 2024 (findings)

When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation

Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng

Journal ref Findings of ACL2024

Centroid-Based Efficient Minimum Bayes Risk Decoding

Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe, Hideki Tanaka, Masao Utiyama

Comments Accepted at Findings of ACL 2024

Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Xiaoying Zhang, Baolin Peng, Ye Tian, Jingyan Zhou, Lifeng Jin, Linfeng Song, Haitao Mi, Helen Meng

Comments 20 pages

Journal ref ACL2024 Main

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval

Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin

Comments camera-ready version for ACL 2024 Findings

Ask Again, Then Fail: Large Language Models' Vacillations in Judgment

Qiming Xie, Zengzhi Wang, Yi Feng, Rui Xia

Comments Accepted by ACL 2024 main conference

Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks

Yingji Zhang, Danilo S. Carvalho, André Freitas

Comments ACL 2024

Can Language Models Serve as Text-Based World Simulators?

Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter Jansen

Comments ACL 2024

Interpretability of Language Models via Task Spaces

Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes

Comments To be published at ACL 2024 (main)

Multimodal Contextualized Semantic Parsing from Speech

Jordan Voas, Raymond Mooney, David Harwath

Comments 10 Pages, 3 figures, ACL 2024 Main

RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors

Liam Dugan, Alyssa Hwang, Filip Trhlik, Josh Magnus Ludan, Andrew Zhu, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch

Comments ACL 2024

Views Are My Own, but Also Yours: Benchmarking Theory of Mind Using Common Ground

Adil Soubki, John Murzaku, Arash Yousefi Jordehi, Peter Zeng, Magdalena Markowska, Seyed Abolghasem Mirroshandel, Owen Rambow

Journal ref ACL 2024 Findings