EMNLP

Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation

Zehao Wang, Minye Wu, Yixin Cao, Yubo Ma, Meiqi Chen, Tinne Tuytelaars

Comments EMNLP 2024 Findings; project page: https://zehao-wang.github.io/navnuances

Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training

Zhou Zhang, Dongzeng Tan, Jiaan Wang, Yilong Chen, Jiarong Xu

Comments Accepted by EMNLP 2024 Main Conference

Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness

Shixuan Ma, Quan Wang

Comments To appear at the main conference of EMNLP 2024

Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction

Jinchuan Zhang, Yan Zhou, Yaxin Liu, Ziming Li, Songlin Hu

Comments EMNLP 2024 camera ready version

Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts

Taehun Cha, Donghun Lee

Comments 10 pages, EMNLP 2024 Findings

SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation

Chenming Tang, Zhixiang Wang, Yunfang Wu

Comments EMNLP 2024 main conference long paper. 16 pages, 2 figures, 14 tables

TroL: Traversal of Layers for Large Language and Vision Models

Byung-Kwan Lee, Sangyun Chung, Chae Won Kim, Beomchan Park, Yong Man Ro

Comments EMNLP 2024. Code is available in https://github.com/ByungKwanLee/TroL

Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?

Siyu Yuan, Cheng Jiayang, Lin Qiu, Deqing Yang

Comments Accepted to EMNLP 2024

Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Weimin Xiong, Yifan Song, Xiutian Zhao, Wenhao Wu, Xun Wang, Ke Wang, Cheng Li, Wei Peng, Sujian Li

Comments Accepted to EMNLP 2024 (Main Conference)

Ranking Manipulation for Conversational Search Engines

Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi

Comments 2024 Conference on Empirical Methods in Natural Language Processing (Main)

How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning

Zeping Yu, Sophia Ananiadou

Comments Accepted by EMNLP 2024 main. Mechanistic interpretability for in-contexting in large language models

Neuron-Level Knowledge Attribution in Large Language Models

Zeping Yu, Sophia Ananiadou

Comments Accepted by EMNLP 2024 main. This paper aims to identify the important neurons in large language models

Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation

Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev

Comments Published at EMNLP 2024 Main Conference

A Study of Implicit Ranking Unfairness in Large Language Models

Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua

Comments Accepted in EMNLP 2024 findings

A fast and sound tagging method for discontinuous named-entity recognition

Caio Corro

Comments EMNLP 2024

Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking

Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong

Comments Accepted by EMNLP 2024 main conference

MINERS: Multilingual Language Models as Semantic Retrievers

Genta Indra Winata, Ruochen Zhang, David Ifeoluwa Adelani

Comments Accepted by EMNLP 2024 Findings

Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering

Yifei Yuan, Yang Deng, Anders Søgaard, Mohammad Aliannejadi

Comments EMNLP 2024

Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents

Bandhav Veluri, Benjamin N Peloquin, Bokai Yu, Hongyu Gong, Shyamnath Gollakota

Comments EMNLP Main 2024

Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA

Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small

Comments Accepted in EMNLP (findings) 2024

In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models

Pengrui Han, Peiyang Song, Haofei Yu, Jiaxuan You

Comments Accepted at EMNLP 2024 Findings

Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation

G M Shahariar, Jia Chen, Jiachen Li, Yue Dong

Comments Findings of the EMNLP 2024

MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models

Sarfaroz Yunusov, Hamza Sidat, Ali Emami

Comments 5 pages (excluding references), accepted to EMNLP 2024 Main Conference

Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research

Tianyu Liu, Yijia Xiao, Xiao Luo, Hua Xu, W. Jim Zheng, Hongyu Zhao

Comments 8 pages

Journal ref EMNLP 2024

Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation

Juhwan Choi, Jungmin Yun, Kyohoon Jin, YoungBin Kim

Comments EMNLP 2024: Camera-ready version

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models

Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin

Comments Accepted to EMNLP 2024 (Findings)

Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP

Zeliang Zhang, Zhuo Liu, Mingqian Feng, Chenliang Xu

Comments Short paper. Accepted by the Findings of EMNLP 2024

Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization

Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md Shad Akhtar

Comments Full paper accepted at EMNLP 2024 (main)

Target-Aware Language Modeling via Granular Data Sampling

Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra

Comments Accepted to EMNLP 2024 Main Conference, 9 pages, 6 figures, 3 tables

DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators

Xinglin Lyu, Junhui Li, Yanqing Zhao, Min Zhang, Daimeng Wei, Shimin Tao, Hao Yang, Min Zhang

Comments Accepted by EMNLP 2024