NAACL - arXivDaily 期刊&会议

2311.09109 2024-06-07 cs.CL cs.AI cs.LG

Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?

Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe

Comments Accepted at NAACL 2024 main oral, 15 pages, 10 figures

2403.05766 2024-06-06 cs.CL

FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs

Shamik Roy, Sailik Sengupta, Daniele Bonadiman, Saab Mansour, Arshit Gupta

Comments NAACL 2024 (Camera Ready) (fixed minor typos)

2305.14590 2024-06-05 cs.CL cs.AI

RE$^2$: Region-Aware Relation Extraction from Visually Rich Documents

Pritika Ramu, Sijia Wang, Lalla Mouatadid, Joy Rimchala, Lifu Huang

Comments NAACL 2024

2310.12516 2024-06-04 cs.CL cs.AI cs.LG

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks

Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao

Comments NAACL 2024 Findings

2405.13350 2024-06-03 cs.CL cs.LG

Efficacy of ByT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages

Corinne Aars, Lauren Adams, Xiaokan Tian, Zhaoyu Wang, Colton Wismer, Jason Wu, Pablo Rivas, Korn Sooksatra, Matthew Fendt

Comments LXAI Workshop at the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024)

2311.06899 2024-05-31 cs.CL cs.AI

Flames: Benchmarking Value Alignment of LLMs in Chinese

Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin

Comments Accepted to the NAACL 2024

2405.19093 2024-05-30 cs.CL cs.IR

Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation

Xindi Wang, Robert E. Mercer, Frank Rudzicz

Comments Accepted to NAACL 2024 -- camera-ready version

2405.17893 2024-05-29 cs.CL cs.AI

Arithmetic Reasoning with LLM: Prolog Generation & Permutation

Xiaocheng Yang, Bingsen Chen, Yik-Cheung Tam

Comments 12 pages, 4 figures, accepted by NAACL 2024 Main Conference

2405.16155 2024-05-29 cs.CL

Improving Multi-lingual Alignment Through Soft Contrastive Learning

Minsu Park, Seyeon Choi, Chanyeol Choi, Jun-Seong Kim, Jy-yong Sohn

Comments 8 pages, 1 figures, Accepted at NAACL SRW 2024

1904.02306 2024-05-29 cs.CL

A Simple Joint Model for Improved Contextual Neural Lemmatization

Chaitanya Malaviya, Shijie Wu, Ryan Cotterell

Comments NAACL 2019

2405.16860 2024-05-28 cs.CV cs.AI

Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks

Yunqi Zhang, Songda Li, Chunyuan Deng, Luyi Wang, Hui Zhao

Comments Accept to NAACL 2024(main)

2403.17540 2024-05-28 cs.CL

Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction

Masamune Kobayashi, Masato Mita, Mamoru Komachi

Comments Accepted to BEA workshop at NAACL 2024

2309.05447 2024-05-28 cs.CL

DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping

Yongrui Chen, Haiyun Jiang, Xinting Huang, Shuming Shi, Guilin Qi

Comments Accepted in NAACL 2024

2305.15067 2024-05-28 cs.CL

Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References

Tianyi Tang, Hongyuan Lu, Yuchen Eleanor Jiang, Haoyang Huang, Dongdong Zhang, Wayne Xin Zhao, Tom Kocmi, Furu Wei

Comments Accepted by NAACL 2024

2404.01679 2024-05-27 cs.CL cs.SI physics.soc-ph

Event Detection from Social Media for Epidemic Prediction

Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang

Comments Accepted at NAACL 2024

2405.15097 2024-05-27 cs.CL cs.AI

Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding

Suyoung Kim, Jiyeon Hwang, Ho-Young Jung

Comments Accepted NAACL 2024

2405.14654 2024-05-24 cs.CL cs.AI

Efficient Medical Question Answering with Knowledge-Augmented Question Generation

Julien Khlaut, Corentin Dancette, Elodie Ferreres, Alaedine Bennani, Paul Hérent, Pierre Manceron

Comments Accepted at the Clinical Natural Language Processing Workshop, NAACL 2024

2405.14150 2024-05-24 cs.CL

jp-evalb: Robust Alignment-based PARSEVAL Measures

Jungyeul Park, Junrui Wang, Eunkyul Leah Jo, Angela Yoonseo Park

Comments To appear in The system demonstration track at NAACL-HLT 2024

2405.06673 2024-05-24 cs.CL cs.AI

Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records

Gyubok Lee, Sunjun Kweon, Seongsu Bae, Edward Choi

Comments The 6th Clinical Natural Language Processing Workshop at NAACL 2024; Minor Change from Camera-Ready

2311.09733 2024-05-24 cs.CL

MOKA: Moral Knowledge Augmentation for Moral Event Extraction

Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang

Comments NAACL'24 Main Conference

2305.05973 2024-05-24 cs.CL cs.CR cs.IR

Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models

Aldo Gael Carranza, Rezsa Farahani, Natalia Ponomareva, Alex Kurakin, Matthew Jagielski, Milad Nasr

Comments Accepted to NAACL 2024

2405.13348 2024-05-24 cs.LG

On the Challenges of Creating Datasets for Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity

Pablo Rivas, Tomas Cerny, Alejandro Rodriguez Perez, Javier Turek, Laurie Giddens, Gisela Bichler, Stacie Petter

Comments LXAI Workshop at the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024)

2405.12900 2024-05-22 cs.CL cs.AI

Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents

San Kim, Gary Geunbae Lee

Comments 15 pages, 7 figures, accepted to NAACL findings 2024

2405.11162 2024-05-21 cs.CL

LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs

Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee

Comments NAACL 2024 Clinical NLP Workshop

2405.11125 2024-05-21 cs.CL

A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Base

Hasti Toossi, Guo Qing Huai, Jinyu Liu, Eric Khiu, A. Seza Doğruöz, En-Shiun Annie Lee

Comments NAACL 2024 SRW

2403.16685 2024-05-21 cs.CL cs.CY

ToXCL: A Unified Framework for Toxic Speech Detection and Explanation

Nhat M. Hoang, Xuan Long Do, Duc Anh Do, Duc Anh Vu, Luu Anh Tuan

Comments Accepted at NAACL 2024 (Main Conference)

2308.11103 2024-05-21 cs.CL cs.AI cs.IR cs.LG

Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models

Alex Nyffenegger, Matthias Stürmer, Joel Niklaus

Comments Accepted to NAACL Findings 2024

2310.10962 2024-05-20 cs.CL

Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning

Huiming Wang, Zhaodonghui Li, Liying Cheng, Soh De Wen, Lidong Bing

Comments NAACL 2024

2405.10202 2024-05-17 cs.CL

Hierarchical Attention Graph for Scientific Document Summarization in Global and Local Level

Chenlong Zhao, Xiwen Zhou, Xiaopeng Xie, Yong Zhang

Comments Accepted to NAACL 2024 Findings

2405.09153 2024-05-16 cs.CL cs.LG

Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser

Jon Z. Cai, Kristin Wright-Bettner, Martha Palmer, Guergana K. Savova, James H. Martin

Comments Accepted to the 6th Clinical NLP Workshop at NAACL, 2024