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ACL 2024

2,718 papers

Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies

Tom Kocmi, Vilém Zouhar, Christian Federmann, Matt Post

AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang

Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Xiaoying Zhang, Baolin Peng, Ye Tian, Jingyan Zhou, Lifeng Jin

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering

Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold

AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators

Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash

UniCoder: Scaling Code Large Language Model via Universal Code

Tao Sun, Linzheng Chai, Jian Yang, Yuwei Yin, Hongcheng Guo

Dissecting Human and LLM Preferences

Junlong Li, Fan Zhou, Shichao Sun, Yikai Zhang, Hai Zhao

HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy

Mengxi Xiao, Qianqian Xie, Ziyan Kuang, Zhicheng Liu, Kailai Yang

Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model

Chuhao Jin, Kening Ren, Lingzhen Kong, Xiting Wang, Ruihua Song

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin

Language Model Adaption for Reinforcement Learning with Natural Language Action Space

Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu

Probing Language Models for Pre-training Data Detection

Zhenhua Liu, Tong Zhu, Chuanyuan Tan, Bing Liu, Haonan Lu

A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation

Zhengrui Ma, Qingkai Fang, Shaolei Zhang, Shoutao Guo, Yang Feng

WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models

Shangqing Tu, Yuliang Sun, Yushi Bai, Jifan Yu, Lei Hou

Feature-Adaptive and Data-Scalable In-Context Learning

Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao

Citation-Enhanced Generation for LLM-based Chatbots

Weitao Li, Junkai Li, Weizhi Ma, Yang Liu

Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Jianheng Huang, Leyang Cui, Ante Wang, Chengyi Yang, Xinting Liao

EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs

Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan SHI, Xiao-ming Wu

Active Prompting with Chain-of-Thought for Large Language Models

SHIZHE DIAO, Pengcheng Wang, Yong Lin, Rui Pan, Xiang Liu

Grounding Language Model with Chunking-Free In-Context Retrieval

Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Damai Dai, Chengqi Deng, Chenggang Zhao, R.x. Xu, Huazuo Gao

TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation

Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan SHI, Bo Liu

ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base

Siyu Yuan, Jiangjie Chen, Changzhi Sun, Jiaqing Liang, Yanghua Xiao

BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering

Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu

TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models

Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang

Linguistically Conditioned Semantic Textual Similarity

Jingxuan Tu, Keer Xu, Liulu Yue, Bingyang Ye, Kyeongmin Rim

InstructProtein: Aligning Human and Protein Language via Knowledge Instruction

Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang

Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents

Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin

RORA: Robust Free-Text Rationale Evaluation

Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme

Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning

Zhaorui Yang, Tianyu Pang, Haozhe Feng, Han Wang, Wei Chen

Reflect-RL: Two-Player Online RL Fine-Tuning for LMs

Runlong Zhou, Simon Du, Beibin Li

Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation

Masato Mita, Soichiro Murakami, Akihiko Kato, Peinan Zhang

Prompt Refinement with Image Pivot for Text-to-Image Generation

Jingtao Zhan, Qingyao Ai, Yiqun Liu, Yingwei Pan, Ting Yao

Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Daechul Ahn, Yura Choi, Youngjae Yu, Dongyeop Kang, Jonghyun Choi

FineSurE: Fine-grained Summarization Evaluation using LLMs

Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour

VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Lim

Token-wise Influential Training Data Retrieval for Large Language Models

Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao

Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach

Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions

Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Chandra Kiran Evuru, Ramaneswaran S

Analysis of Multi-Source Language Training in Cross-Lingual Transfer

Seonghoon Lim, Taejun Yun, Jinhyeon Kim, Jihun Choi, Taeuk Kim

Hyper-CL: Conditioning Sentence Representations with Hypernetworks

Young Yoo, Jii Cha, Changhyeon Kim, Taeuk Kim

FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability

Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng

DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation

Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero

Multimodal Instruction Tuning with Conditional Mixture of LoRA

Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin

OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following

Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu

Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification

Yibo Hu, Erick Skorupa Parolin, Latifur Khan, Patrick Brandt, Javier Osorio

Wav2Gloss: Generating Interlinear Glossed Text from Speech

Taiqi He, Kwanghee Choi, Lindia Tjuatja, Nathaniel Robinson, Jiatong Shi

Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders

Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su

Every Answer Matters: Evaluating Commonsense with Probabilistic Measures

Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O’Gorman, Nalini Singh

Answer is All You Need: Instruction-following Text Embedding via Answering the Question

Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu

Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News

Alexandria Leto, Elliot Pickens, Coen Needell, David Rothschild, Maria Leonor Pacheco

Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge

Brendan Park, Madeline Janecek, Naser Ezzati-Jivan, Yifeng Li, Ali Emami

Retrieval-Augmented Multilingual Knowledge Editing

Weixuan Wang, Barry Haddow, Alexandra Birch

Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction

Yiren Jian, Tingkai Liu, Yunzhe Tao, Chunhui Zhang, Soroush Vosoughi