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EMNLP 2024

2,910 papers

EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning

Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Mohan Yerragorla, Sourangshu Bhattacharya

How Far Can We Extract Diverse Perspectives from Large Language Models?

Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal, Dongyeop Kang

Safely Learning with Private Data: A Federated Learning Framework for Large Language Model

Jia-Ying Zheng, Hainan Zhang, Lingxiang Wang, Wangjie Qiu, Hong-Wei Zheng

Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan

LUQ: Long-text Uncertainty Quantification for LLMs

Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier

Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning

Shi Mingcong, Chunjiang Zhu, Detian Zhang, Shiting Wen, Li Qing

Induct-Learn: Short Phrase Prompting with Instruction Induction

Po-Chun Chen, Sheng-Lun Wei, Hen-Hsen Huang, Hsin-Hsi Chen

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages

Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, Lester James V. Miranda, Jennifer Santoso

Academics Can Contribute to Domain-Specialized Language Models

Mark Dredze, Genta Indra Winata, Prabhanjan Kambadur, Shijie Wu, Ozan Irsoy

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu

FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation

Mohamad Ballout, Anne Dedert, Nohayr Muhammad Abdelmoneim, Ulf Krumnack, Gunther Heidemann

Aligning Translation-Specific Understanding to General Understanding in Large Language Models

Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu

Cross-Domain Audio Deepfake Detection: Dataset and Analysis

Yuang Li, Min Zhang, Mengxin Ren, Xiaosong Qiao, Miaomiao Ma

Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs

Shadi Iskander, Sofia Tolmach, Ori Shapira, Nachshon Cohen, Zohar Karnin

EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation

Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang

An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records

Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob Drachmann Havtorn

Using Language Models to Disambiguate Lexical Choices in Translation

Josh Barua, Sanjay Subramanian, Kayo Yin, Alane Suhr

RWKV-CLIP: A Robust Vision-Language Representation Learner

Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu

Bayesian Calibration of Win Rate Estimation with LLM Evaluators

Yicheng Gao, Gonghan Xu, Zhe Wang, Arman Cohan

A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick

Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models

Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li

Retrospex: Language Agent Meets Offline Reinforcement Learning Critic

Yufei Xiang, Yiqun Shen, Yeqin Zhang, Cam-Tu Nguyen

How Do Humans Write Code? Large Models Do It the Same Way Too

Long Li, Xuzheng He, Haozhe Wang, Linlin Wang, Liang He

Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping

Yangyang Zhao, Ben Niu, Mehdi Dastani, Shihan Wang

Outcome-Constrained Large Language Models for Countering Hate Speech

Lingzi Hong, Pengcheng Luo, Eduardo Blanco, Xiaoying Song

Leveraging Conflicts in Social Media Posts: Unintended Offense Dataset

Che-Wei Tsai, Yen-Hao Huang, Tsu-Keng Liao, Didier Fernando Salazar Estrada, Retnani Latifah

IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding

Pengcheng Li, Xulong Zhang, Jing Xiao, Jianzong Wang

Visual Prompting in LLMs for Enhancing Emotion Recognition

Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Wenjia Niu, Sabrina Caldwell

VIMI: Grounding Video Generation through Multi-modal Instruction

Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chieh Wang

Order of Magnitude Speedups for LLM Membership Inference

Rongting Zhang, Martin Andres Bertran, Aaron Roth

Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects

Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin

An Analysis of Multilingual FActScore

Vu Trong Kim, Michael Krumdick, Varshini Reddy, Franck Dernoncourt, Viet Dac Lai

When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives

Yebowen Hu, Kaiqiang Song, SangWoo Cho, Xiaoyang Wang, Wenlin Yao

SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning

Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal

Hidden Persuaders: LLMs’ Political Leaning and Their Influence on Voters

Yujin Potter, Shiyang Lai, Junsol Kim, James Evans, Dawn Song

STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions

Robert Morabito, Sangmitra Madhusudan, Tyler McDonald, Ali Emami

I Could’ve Asked That: Reformulating Unanswerable Questions

Wenting Zhao, Ge Gao, Claire Cardie, Alexander M Rush

StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements

Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L Gordon, Zaïd Harchaoui

Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration

Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park

Teaching LLMs to Abstain across Languages via Multilingual Feedback

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia

MiTTenS: A Dataset for Evaluating Gender Mistranslation

Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, Jasmijn Bastings

When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages

Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Benjamin K. Bergen

When Context Leads but Parametric Memory Follows in Large Language Models

Yufei Tao, Adam Hiatt, Erik Haake, Antonie J. Jetter, Ameeta Agrawal

Private Language Models via Truncated Laplacian Mechanism

Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang

Where is the signal in tokenization space?

Renato Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck

Dissecting Fine-Tuning Unlearning in Large Language Models

Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang

Advancing Large Language Model Attribution through Self-Improving

Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan

Conditional and Modal Reasoning in Large Language Models

Wesley H. Holliday, Matthew Mandelkern, Cedegao E. Zhang

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

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

M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning

Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui

What do Large Language Models Need for Machine Translation Evaluation?

Shenbin Qian, Archchana Sindhujan, Minnie Kabra, Diptesh Kanojia, Constantin Orasan