EMNLP 2024

2,910 papers

Using LLMs to simulate students’ responses to exam questions

Luca Benedetto, Giovanni Aradelli, Antonia Donvito, Alberto Lucchetti, Andrea Cappelli

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

Wenhua Cheng, Weiwei Zhang, Haihao Shen, Yiyang Cai, XIN HE

Designing Logic Pattern Templates for Counter-Argument Logical Structure Analysis

Shoichi Naito, Wenzhi Wang, Paul Reisert, Naoya Inoue, Camelia Guerraoui

Leveraging Web-Crawled Data for High-Quality Fine-Tuning

Jing Zhou, Chenglin Jiang, Wei Shen, Xiao Zhou, Xiaonan He

Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment

Orgest Xhelili, Yihong Liu, Hinrich Schuetze

Scaling Laws for Fact Memorization of Large Language Models

Xingyu Lu, Xiaonan Li, Qinyuan Cheng, Kai Ding, Xuanjing Huang

Logits Reranking via Semantic Labels for Hard Samples in Text Classification

Peijie Huang, Junbao Huang, Yuhong Xu, Weizhen Li, Xisheng Xiao

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval

Kazuaki Furumai, Roberto Legaspi, Julio Cesar Vizcarra Romero, Yudai Yamazaki, Yasutaka Nishimura

ITER: Iterative Transformer-based Entity Recognition and Relation Extraction

Moritz Hennen, Florian Babl, Michaela Geierhos

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement

Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang

Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis

Yongsik Seo, Sungwon Song, Ryang Heo, Jieyong Kim, Dongha Lee

Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft

Chalamalasetti Kranti, Sherzod Hakimov, David Schlangen

MAVEN-FACT: A Large-scale Event Factuality Detection Dataset

Chunyang Li, Hao Peng, Xiaozhi Wang, Yunjia Qi, Lei Hou

Platform-Invariant Topic Modeling via Contrastive Learning to Mitigate Platform-Induced Bias

Minseo Koo, Doeun Kim, Sungwon Han, Sungkyu Shaun Park

AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding

Alessandro Suglia, Claudio Greco, Katie Baker, Jose L. Part, Ioannis Papaioannou

Improving Factual Consistency of News Summarization by Contrastive Preference Optimization

Huawen Feng, Yan Fan, Xiong Liu, Ting-En Lin, Zekun Yao

Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities

Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao

Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability

Tsz Ting Chung, Leyang Cui, Lemao Liu, Xinting Huang, Shuming Shi

Rethinking Code Refinement: Learning to Judge Code Efficiency

Minju Seo, Jinheon Baek, Sung Ju Hwang

Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation

Branislav Pecher, Jan Cegin, Robert Belanec, Jakub Simko, Ivan Srba

DictDis: Dictionary Constrained Disambiguation for Improved NMT

Ayush Maheshwari, Preethi Jyothi, Ganesh Ramakrishnan

Functionality learning through specification instructions

Pedro Henrique Luz de Araujo, Benjamin Roth

Multimodal Procedural Planning via Dual Text-Image Prompting

Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Eric Wang

Beyond Single-Audio: Advancing Multi-Audio Processing in Audio Large Language Models

Yiming Chen, Xianghu Yue, Xiaoxue Gao, Chen Zhang, Luis Fernando D’Haro

Mental Disorder Classification via Temporal Representation of Text

Raja Kumar, Kishan Maharaj, Ashita Saxena, Pushpak Bhattacharyya

FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents

Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao

From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models

Qianyu He, Jie Zeng, Qianxi He, Jiaqing Liang, Yanghua Xiao

Ask-before-Plan: Proactive Language Agents for Real-World Planning

Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua

CERT-ED: Certifiably Robust Text Classification for Edit Distance

Zhuoqun Huang, Neil G Marchant, Olga Ohrimenko, Benjamin I. P. Rubinstein

Together We Can: Multilingual Automatic Post-Editing for Low-Resource Languages

Sourabh Deoghare, Diptesh Kanojia, Pushpak Bhattacharyya

Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models

Xu Han, Linghao Jin, Xuezhe Ma, Xiaofeng Liu

Enhancing Emotion-Cause Pair Extraction in Conversations via Center Event Detection and Reasoning

Botao WANG, Keke Tang, Peican Zhu

LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages

Yinquan Lu, Wenhao Zhu, Lei Li, Yu Qiao, Fei Yuan

Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models

Minseok Choi, Kyunghyun Min, Jaegul Choo

Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes

Dibyanayan Bandyopadhyay, Mohammed Hasanuzzaman, Asif Ekbal

PDF-to-Tree: Parsing PDF Text Blocks into a Tree

Yue Zhang, Zhihao Zhang, Wenbin Lai, Chong Zhang, Tao Gui

MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science

Junho Kim, Yeachan Kim, Jun-Hyung Park, Yerim Oh, Suho Kim

What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal Models

Junho Kim, Kim Yeonju, Yong Man Ro

STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals

Weihang Su, Yiran Hu, Anzhe Xie, Qingyao Ai, Quezi Bing

Learning to Use Tools via Cooperative and Interactive Agents

Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan

Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication

Weize Chen, Chenfei Yuan, Jiarui Yuan, Yusheng Su, Chen Qian

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

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

Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models

Sheng Zhang, Hui Li, Rongrong Ji

Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts

Haoxiang Wang, Wei Xiong, Tengyang Xie, Han Zhao, Tong Zhang

MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation

Yusheng Liao, Shuyang Jiang, Zhe Chen, Yu Wang, Yanfeng Wang

Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs.

Clément Christophe, Tathagata Raha, Svetlana Maslenkova, Muhammad Umar Salman, Praveenkumar Kanithi

Fine-tuning Smaller Language Models for Question Answering over Financial Documents

Karmvir Singh Phogat, Sai Akhil Puranam, Sridhar Dasaratha, Chetan Harsha, Shashishekar Ramakrishna

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation

Jongho Kim, Romain Storaï, Seung-won Hwang

Promoting Data and Model Privacy in Federated Learning through Quantized LoRA

Zhu JianHao, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu

Exploring Design Choices for Building Language-Specific LLMs

Atula Tejaswi, Nilesh Gupta, Eunsol Choi

Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs

Fengzhu Zeng, Wenqian Li, Wei Gao, Yan Pang

MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition

Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong

BiasDora: Exploring Hidden Biased Associations in Vision-Language Models

Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors

Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li

Learning to Match Representations is Better for End-to-End Task-Oriented Dialog System

Wanshi Xu, Xuxin Cheng, Zhihong Zhu, Zhanpeng Chen, Yuexian Zou

Detecting Machine-Generated Long-Form Content with Latent-Space Variables

Yufei Tian, Zeyu Pan, Nanyun Peng

Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation

Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei

Introducing Spatial Information and a Novel Evaluation Scheme for Open-Domain Live Commentary Generation

Erica K. Shimomoto, Edison Marrese-Taylor, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao

How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models

Yin Jou Huang, Rafik Hadfi

In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models

Ayrton San Joaquin, Bin Wang, Zhengyuan Liu, Nicholas Asher, Brian Lim

TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning

Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du

PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning

Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang

Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases

Wenhao Huang, Qianyu He, Zhixu Li, Jiaqing Liang, Yanghua Xiao

Schema-Driven Information Extraction from Heterogeneous Tables

Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze

MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding

Qinzhuo Wu, Weikai Xu, Wei Liu, Tao Tan, Liujian Liujianfeng

Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario

Feiteng Mu, Yong Jiang, Liwen Zhang, Chu Liu, Wenjie Li

PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes

He CAO, Yanjun Shao, Zhiyuan Liu, Zijing Liu, Xiangru Tang

Knowledge-based Consistency Testing of Large Language Models

Sai Sathiesh Rajan, Ezekiel Soremekun, Sudipta Chattopadhyay

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis

Jianxiang Yu, Zichen Ding, Jiaqi Tan, kangyang Luo, Zhenmin Weng

Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models

Shitian Zhao, Renrui Zhang, Xu Luo, Yan Wang, Shanghang Zhang

Who’s Who: Large Language Models Meet Knowledge Conflicts in Practice

Quang Hieu Pham, Hoang Ngo, Anh Tuan Luu, Dat Quoc Nguyen

Can LLM be a Personalized Judge?

Yijiang River Dong, Tiancheng Hu, Nigel Collier

Javier Ferrando, Marta R. Costa-jussà

C-ICL: Contrastive In-context Learning for Information Extraction

Ying Mo, Jiahao Liu, Jian Yang, Qifan Wang, Shun Zhang

Learning to Plan by Updating Natural Language

Yiduo Guo, Yaobo Liang, Chenfei Wu, Wenshan Wu, Dongyan Zhao

StraGo: Harnessing Strategic Guidance for Prompt Optimization

Yurong Wu, Yan Gao, Bin Benjamin Zhu, Zineng Zhou, Xiaodi Sun

CNEQ: Incorporating numbers into Knowledge Graph Reasoning

Xianshu Peng, Wei Wei, Kaihe Xu, Dangyang Chen

Enabling Cross-Platform Comparison of Online Communities Using Content and Opinion Similarity

Prasanna Lakkur Subramanyam, Jeng-Yu Chou, Kevin K. Nam, Brian Levine

TrustAgent: Towards Safe and Trustworthy LLM-based Agents

Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng

Word-Conditioned 3D American Sign Language Motion Generation

Lu Dong, Xiao Wang, Ifeoma Nwogu

VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis

Jiaxiang Liu, Tianxiang Hu, Huimin Xiong, JIAWEI DU, Yang Feng

Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding

Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu

Video Discourse Parsing and Its Application to Multimodal Summarization: A Dataset and Baseline Approaches

Tsutomu Hirao, Naoki Kobayashi, Hidetaka Kamigaito, Manabu Okumura, Akisato Kimura

Pruning Multilingual Large Language Models for Multilingual Inference

Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi

Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy

Razvan-Gabriel Dumitru, Paul Ioan Clotan, Vikas Yadav, Darius Peteleaza, Mihai Surdeanu

Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries

Biaoyan Fang, Xiang Dai, Sarvnaz Karimi

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization

Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick

Monotonic Paraphrasing Improves Generalization of Language Model Prompting

Qin Liu, Fei Wang, Nan Xu, Tianyi Lorena Yan, Tao Meng

VDebugger: Harnessing Execution Feedback for Debugging Visual Programs

Xueqing Wu, Zongyu Lin, Songyan Zhao, Te-Lin Wu, Pan Lu

Can Textual Unlearning Solve Cross-Modality Safety Alignment?

Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael B. Abu-Ghazaleh, M. Salman Asif

Can LLMs Reason in the Wild with Programs?

Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri

A Survey on Detection of LLMs-Generated Content

Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda Ruth Petzold

Do *they* mean ‘us’? Interpreting Referring Expression variation under Intergroup Bias

Venkata S Govindarajan, Matianyu Zang, Kyle Mahowald, David Beaver, Junyi Jessy Li

MobileQuant: Mobile-friendly Quantization for On-device Language Models

Fuwen Tan, Royson Lee, Łukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Yifan Xu, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li

DisGeM: Distractor Generation for Multiple Choice Questions with Span Masking

Devrim Çavuşoğlu, Seçil Şen, Ulaş Sert

From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues

Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu

Pruning Foundation Models for High Accuracy without Retraining

Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong

Navigating Hallucinations for Reasoning of Unintentional Activities

Shresth Grover, Vibhav Vineet, Yogesh S Rawat

Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models

Kenza Benkirane, Laura Gongas, Shahar Pelles, Naomi Fuchs, Joshua Darmon