EMNLP

Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses

Hung-Ting Su, Ya-Ching Hsu, Xudong Lin, Xiang-Qian Shi, Yulei Niu, Han-Yuan Hsu, Hung-yi Lee, Winston H. Hsu

Comments EMNLP 2024 Findings. The first two authors contributed equally. Code: https://github.com/Shelley1214/Trope

Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis

Zeping Yu, Sophia Ananiadou

Comments Accepted by EMNLP 2024 main. Mechanistic interpretability for arithmetic tasks in large language models

PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL

Ruilin Luo, Liyuan Wang, Binghuai Lin, Zicheng Lin, Yujiu Yang

Comments EMNLP 2024 Main Conference. Revised by ARR April and ARR June. 32 pages, 7 figures and 30 tables

Enhancing Advanced Visual Reasoning Ability of Large Language Models

Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Weidong Cai

Comments EMNLP 2024 Main

Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank

Jaewook Lee, Hunter McNichols, Andrew Lan

Comments EMNLP 2024 findings

Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation

Seonghyeon Lee, Suyeon Kim, Joonwon Jang, Heejae Chon, Dongha Lee, Hwanjo Yu

Comments EMNLP 2024 Findings Short

"I Never Said That": A dataset, taxonomy and baselines on response clarity classification

Konstantinos Thomas, Giorgos Filandrianos, Maria Lymperaiou, Chrysoula Zerva, Giorgos Stamou

Comments Accepted at Findings of EMNLP 2024

Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval

Yanfei Chen, Jinsung Yoon, Devendra Singh Sachan, Qingze Wang, Vincent Cohen-Addad, Mohammadhossein Bateni, Chen-Yu Lee, Tomas Pfister

Comments EMNLP Findings 2024

Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course

Cheng-Han Chiang, Wei-Chih Chen, Chun-Yi Kuan, Chienchou Yang, Hung-yi Lee

Comments EMNLP 2024 main conference paper. An empirical report of our course: Introduction to Generative AI 2024 Spring (https://speech.ee.ntu.edu.tw/~hylee/genai/2024-spring.php)

XRec: Large Language Models for Explainable Recommendation

Qiyao Ma, Xubin Ren, Chao Huang

Comments Accepted to EMNLP 2024 Findings

Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model

Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Ido Dagan

Comments Findings of EMNLP 2024

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation

Juhwan Choi, Yeonghwa Kim, Seunguk Yu, JungMin Yun, YoungBin Kim

Comments EMNLP 2024: Camera-ready version

ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs

Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan, YoungMin Kim, Tanya Roosta, Aman Chadha, Chirag Shah

Comments EMNLP 2024 Findings

Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation

Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua

Comments Accepted by EMNLP 2024 (Main)

AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation

Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao

Comments Accepted by EMNLP 2024 Findings

Knowledge Verification to Nip Hallucination in the Bud

Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi

Comments Accepted to EMNLP 2024 (Main Conference)

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning

Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang

Comments Accepted by EMNLP 2024 Main conference

Towards Online Continuous Sign Language Recognition and Translation

Ronglai Zuo, Fangyun Wei, Brian Mak

Comments Accepted to EMNLP 2024

XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs

Zichen Chen, Jianda Chen, Ambuj Singh, Misha Sra

Comments Accepted at EMNLP 2024 Main. The dataset and code are available at https://github.com/chen-zichen/XplainLLM_dataset.git

YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models

Abhilash Nandy, Yash Agarwal, Ashish Patwa, Millon Madhur Das, Aman Bansal, Ankit Raj, Pawan Goyal, Niloy Ganguly

Comments EMNLP 2024 Main (Long), 18 pages, 14 figures, 12 tables

CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems

Qianli Wang, Tatiana Anikina, Nils Feldhus, Simon Ostermann, Sebastian Möller

Comments EMNLP 2024 Findings (short paper); camera-ready version

Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models

Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski

Comments EMNLP Findings 2024

Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering

Weihe Zhai, Arkaitz Zubiaga

Comments EMNLP 2024 Main

Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation

Andreea Iana, Goran Glavaš, Heiko Paulheim

Comments Accepted at the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)

Guided Profile Generation Improves Personalization with LLMs

Jiarui Zhang

Comments EMNLP 2024 Findings

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?

Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A Miller, Danielle Bitterman, Matthew Churpek, Majid Afshar

Comments Accepted to Findings of EMNLP 2024

Fast and Accurate Factual Inconsistency Detection Over Long Documents

Barrett Martin Lattimer, Patrick Chen, Xinyuan Zhang, Yi Yang

Comments To be published in EMNLP 2023 Main Conference, 9 pages

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

EmPO: Emotion Grounding for Empathetic Response Generation through Preference Optimization

Ondrej Sotolar, Vojtech Formanek, Alok Debnath, Allison Lahnala, Charles Welch, Lucie FLek

Comments v02, 8 pages long paper, EMNLP ACL style

Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever

Rohan Jha, Bo Wang, Michael Günther, Georgios Mastrapas, Saba Sturua, Isabelle Mohr, Andreas Koukounas, Mohammad Kalim Akram, Nan Wang, Han Xiao

Comments 8 pages, references at pp7,8; EMNLP workshop submission

Effectiveness of Pre-training for Few-shot Intent Classification

Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Albert Y. S. Lam, Xiao-Ming Wu

Comments Accepted as a short paper in Findings of EMNLP 2021