Skip to content
conftrace_

EMNLP 2024

2,910 papers

SocialGaze: Improving the Integration of Human Social Norms in Large Language Models

Anvesh Rao Vijjini, Rakesh R Menon, Jiayi Fu, Shashank Srivastava, Snigdha Chaturvedi

Large Language Models are In-context Teachers for Knowledge Reasoning

Jiachen Zhao, Zonghai Yao, Zhichao Yang, Hong Yu

MiRAGeNews: Multimodal Realistic AI-Generated News Detection

Runsheng Huang, Liam Dugan, Yue Yang, Chris Callison-Burch

HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation

Chuancheng Lv, Lei Li, Shitou Zhang, Gang Chen, Fanchao Qi

Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models

Himanshu Beniwal, Dishant Patel, Kowsik Nandagopan D, Hritik Ladia, Ankit Yadav

Textless Speech-to-Speech Translation With Limited Parallel Data

Anuj Diwan, Anirudh Srinivasan, David Harwath, Eunsol Choi

Gradient Localization Improves Lifelong Pretraining of Language Models

Jared Fernandez, Yonatan Bisk, Emma Strubell

VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation

Kun Qian, Shunji Wan, Claudia Tang, Youzhi Wang, Xuanming Zhang

Multi-label Sequential Sentence Classification via Large Language Model

Mengfei Lan, Lecheng Zheng, Shufan Ming, Halil Kilicoglu

Gazelle: An Instruction Dataset for Arabic Writing Assistance

Samar Mohamed Magdy, Fakhraddin Alwajih, Sang Yun Kwon, Reem Abdel-Salam, Muhammad Abdul-Mageed

On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization

Yong Lin, Skyler Seto, Maartje Ter Hoeve, Katherine Metcalf, Barry-John Theobald

Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models

Muhan Lin, Shuyang Shi, Yue Guo, Behdad Chalaki, Vaishnav Tadiparthi

SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions

Shicheng Liu, Sina Semnani, Harold Triedman, Jialiang Xu, Isaac Dan Zhao

Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution

Himanshu Maheshwari, Sambaran Bandyopadhyay, Aparna Garimella, Anandhavelu Natarajan

How Does Quantization Affect Multilingual LLMs?

Kelly Marchisio, Saurabh Dash, Hongyu Chen, Dennis Aumiller, Ahmet Üstün

Grounding Partially-Defined Events in Multimodal Data

Kate Sanders, Reno Kriz, David Etter, Hannah Recknor, Alexander Martin

LLM generated responses to mitigate the impact of hate speech

Jakub Podolak, Szymon Łukasik, Paweł Balawender, Jan Ossowski, Jan Piotrowski

Explaining Mixtures of Sources in News Articles

Alexander Spangher, James Youn, Matt DeButts, Nanyun Peng, Emilio Ferrara

A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune

Taha Ceritli, Savas Ozkan, Jeongwon Min, Eunchung Noh, Cho Jung Min

Evaluating Gender Bias of LLMs in Making Morality Judgements

Divij Bajaj, Yuanyuan Lei, Jonathan Tong, Ruihong Huang

Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA

Wenyu Huang, Guancheng Zhou, Hongru Wang, Pavlos Vougiouklis, Mirella Lapata

Explicit Inductive Inference using Large Language Models

Tianyang Liu, Tianyi Li, Liang Cheng, Mark Steedman

CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Models

Sarthak Harne, Monjoy Narayan Choudhury, Madhav Rao, T K Srikanth, Seema Mehrotra

Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation

Chu Fei Luo, Radin Shayanfar, Rohan V Bhambhoria, Samuel Dahan, Xiaodan Zhu

Who Wrote When? Author Diarization in Social Media Discussions

Benedikt Boenninghoff, Henry Hosseini, Robert M. Nickel, Dorothea Kolossa

Advancing Vision-Language Models with Adapter Ensemble Strategies

Yue Bai, Handong Zhao, Zhe Lin, Ajinkya Kale, Jiuxiang Gu

Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs

Arijit Nag, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti

A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents

Ankan Mullick, Sombit Bose, Abhilash Nandy, Gajula Sai Chaitanya, Pawan Goyal

Targeted Multilingual Adaptation for Low-resource Language Families

C. M. Downey, Terra Blevins, Dhwani Serai, Dwija Parikh, Shane Steinert-Threlkeld

Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging

Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge

CoCoHD: Congress Committee Hearing Dataset

Arnav Hiray, Yunsong Liu, Mingxiao Song, Agam Shah, Sudheer Chava

Large Language Models Know What To Say But Not When To Speak

Muhammad Umair, Vasanth Sarathy, Jan Ruiter

Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generation

Subramanian Chidambaram, Li Erran Li, Min Bai, Xiaopeng Li, Kaixiang Lin

Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extraction

Joseph J Peper, Wenzhao Qiu, Ryan Bruggeman, Yi Han, Estefania Ciliotta Chehade

Knowledge-Centric Templatic Views of Documents

Isabel Cachola, Silviu Cucerzan, Allen Herring, Vuksan Mijovic, Erik Oveson

M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models

Chuhan Li, Ziyao Shangguan, Yilun Zhao, Deyuan Li, Yixin Liu

A Unified Framework for Model Editing

Akshat Gupta, Dev Sajnani, Gopala Anumanchipalli

One-to-many testing for code generation from (just) natural language

Mansi Uniyal, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le

Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression

Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham, Vivek Srikumar

ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning

Yu-Chen Lin, Wei-Hua Li, Jun-Cheng Chen, Chu-Song Chen

Eigen Attention: Attention in Low-Rank Space for KV Cache Compression

Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy

DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment

Liang Zhu, Feiteng Fang, Yuelin Bai, Longze Chen, Zhexiang Zhang

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference

Joao Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez

Dual Process Masking for Dialogue Act Recognition

Yeo Jin Kim, Halim Acosta, Wookhee Min, Jonathan Rowe, Bradford Mott

Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains

Krithika Ramesh, Nupoor Gandhi, Pulkit Madaan, Lisa Bauer, Charith Peris

LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation

Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu

xTower: A Multilingual LLM for Explaining and Correcting Translation Errors

Marcos V Treviso, Nuno M Guerreiro, Sweta Agrawal, Ricardo Rei, José Pombal

Modeling Gender and Dialect Bias in Automatic Speech Recognition

Camille Harris, Chijioke Mgbahurike, Neha Kumar, Diyi Yang

Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks

Sungkyung Kim, Adam Lee, Junyoung Park, Andrew Chung, Jusang Oh

Re-examining Sexism and Misogyny Classification with Annotator Attitudes

Aiqi Jiang, Nikolas Vitsakis, Tanvi Dinkar, Gavin Abercrombie, Ioannis Konstas

SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models

Vipul Kumar Rathore, Aniruddha Deb, Ankish Kumar Chandresh, Parag Singla, Mausam .

Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation

Esteban Garces Arias, Julian Rodemann, Meimingwei Li, Christian Heumann, Matthias Aßenmacher

Self-training Large Language Models through Knowledge Detection

Yeo Wei Jie, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria

Characterizing Text Datasets with Psycholinguistic Features

Marcio Monteiro, Charu Karakkaparambil James, Marius Kloft, Sophie Fellenz

Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking

Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-hyeong Kim, Yu Jin Kim

AXCEL: Automated eXplainable Consistency Evaluation using LLMs

P Aditya Sreekar, Sahil Verma, Suransh Chopra, Abhishek Persad, Sarik Ghazarian

ARTS: Assessing Readability & Text Simplicity

Björn Engelmann, Christin Katharina Kreutz, Fabian Haak, Philipp Schaer

Analyzing Context Contributions in LLM-based Machine Translation

Emmanouil Zaranis, Nuno M Guerreiro, Andre Martins

CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models

Qin Zhang, Sihan Cai, Jiaxu Zhao, Mykola Pechenizkiy, Meng Fang

CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text

Hakyung Lee, Keon-Hee Park, Hoyoon Byun, Jeyoon Yeom, Jihee Kim

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

Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization

Heshen Zhan, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun

LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study

Van Bach Nguyen, Paul Youssef, Christin Seifert, Jörg Schlötterer

SARCAT: Generative Span-Act Guided Response Generation using Copy-enhanced Target Augmentation

Jeong-Doo Lee, Hyeongjun Choi, Beomseok Hong, Youngsub Han, Byoung-Ki Jeon

LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation

Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang

From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression

Eunseong Choi, Sunkyung Lee, Minjin Choi, Jun Park, Jongwuk Lee