ACL 2024

2,718 papers

LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback

Wen Lai, Mohsen Mesgar, Alexander Fraser

ULTRA: Unleash LLMs’ Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinement

Xinliang Frederick Zhang, Carter Blum, Temma Choji, Shalin Shah, Alakananda Vempala

Linear Cross-Lingual Mapping of Sentence Embeddings

Oleg Vasilyev, Fumika Isono, John Bohannon

Challenging Large Language Models with New Tasks: A Study on their Adaptability and Robustness

Chenxi Li, Yuanhe Tian, Zhaxi Zerong, Yan Song, Fei Xia

Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks

Aditi Mishra, Sajjadur Rahman, Kushan Mitra, Hannah Kim, Estevam Hruschka

SMR: State Memory Replay for Long Sequence Modeling

Biqing Qi, Junqi Gao, Kaiyan Zhang, Dong Li, Jianxing Liu

Latent Learningscape Guided In-context Learning

Anlai Zhou, Sunshine Jiang, Yifei Liu, Yiquan Wu, Kun Kuang

Deterministic Reversible Data Augmentation for Neural Machine Translation

Jiashu Yao, Heyan Huang, Zeming Liu, Yuhang Guo

ECoK: Emotional Commonsense Knowledge Graph for Mining Emotional Gold

Zhunheng Wang, Xiaoyi Liu, Mengting Hu, Rui Ying, Ming Jiang

Alignment-Based Decoding Policy for Low-Latency and Anticipation-Free Neural Japanese Input Method Editors

Armin Sarhangzadeh, Taro Watanabe

Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains

Marcio Fonseca, Shay Cohen

Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation

Fanyou Wu, Weijie Xu, Chandan Reddy, Srinivasan Sengamedu

Symmetric Dot-Product Attention for Efficient Training of BERT Language Models

Martin Courtois, Malte Ostendorff, Leonhard Hennig, Georg Rehm

Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval

Yan Gao, Zhiwei Cao, Zhongjian Miao, Baosong Yang, SHIYU LIU

Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies

Nitesh Kumar, Usashi Chatterjee, Steven Schockaert

Empowering cross-lingual abilities of instruction-tuned large language models by translation-following demonstrations

Leonardo Ranaldi, Giulia Pucci, Andre Freitas

LLMCrit: Teaching Large Language Models to Use Criteria

Weizhe Yuan, Pengfei Liu, Matthias Gallé

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries

Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi

The State of Relation Extraction Data Quality: Is Bigger Always Better?

Erica Cai, Brendan O’Connor

Language models emulate certain cognitive profiles: An investigation of how predictability measures interact with individual differences

Patrick Haller, Lena Bolliger, Lena Jäger

UOR: Universal Backdoor Attacks on Pre-trained Language Models

Wei Du, Peixuan Li, Haodong Zhao, Tianjie Ju, Ge Ren

Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models

Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash

ALaRM: Align Language Models via Hierarchical Rewards Modeling

Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, zhongyu wei

Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering

Xiang Li, Shizhu He, Fangyu Lei, Jun Yang, Tianhuang Su

ChartAssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning

Fanqing Meng, Wenqi Shao, Quanfeng Lu, peng gao, Kaipeng Zhang

E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models

Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng

Learning Adverbs with Spectral Mixture Kernels

Tomoe Taniguchi, Daichi Mochihashi, Ichiro Kobayashi

IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact

Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao

CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification

Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren

Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts

Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang

Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification

GiBaeg Kim, SangHun Im, Heung-Seon Oh

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding

Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li

DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models

Shanbao Qiao, Xuebing Liu, Seung-Hoon Na

Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives

Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou

From Zero to Hero: Cold-Start Anomaly Detection

Tal Reiss, George Kour, Naama Zwerdling, Ateret Anaby Tavor, Yedid Hoshen

What Have We Achieved on Non-autoregressive Translation?

Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang

A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection

Taichi Aida, Danushka Bollegala

Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever

Xinwei Long, Jiali Zeng, Fandong Meng, Jie Zhou, Bowen Zhou

Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization

Shichao Sun, Ruifeng Yuan, Ziqiang Cao, Wenjie Li, Pengfei Liu

Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German

Manuel Lardelli, Giuseppe Attanasio, Anne Lauscher

Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning

Naibin Gu, Peng Fu, Xiyu Liu, Bowen Shen, Zheng Lin

A Two-Agent Game for Zero-shot Relation Triplet Extraction

Ting Xu, Haiqin Yang, Fei Zhao, Zhen Wu, Xinyu Dai

Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model

Hengyuan Zhang, Yanru Wu, Dawei Li, Sak Yang, Rui Zhao

A Data-Driven Guided Decoding Mechanism for Diagnostic Captioning

Panagiotis Kaliosis, John Pavlopoulos, Foivos Charalampakos, Georgios Moschovis, Ion Androutsopoulos

A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models

Zihao Xu, Yi Liu, Gelei Deng, Yuekang Li, Stjepan Picek

ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs

Lei Sun, Zhengwei Tao, Youdi Li, Hiroshi Arakawa

“My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models

Xinpeng Wang, Bolei Ma, Chengzhi Hu, Leon Weber-Genzel, Paul Röttger

An Empirical Study of In-context Learning in LLMs for Machine Translation

Pranjal Chitale, Jay Gala, Raj Dabre

Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking

Ming Dong, Yujing Chen, Miao Zhang, Hao Sun, Tingting He

The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis

Miaoran Zhang, Vagrant Gautam, Mingyang Wang, Jesujoba Alabi, Xiaoyu Shen

Penetrative AI: Making LLMs Comprehend the Physical World

Huatao Xu, Liying Han, Qirui Yang, Mo Li, Mani Srivastava

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model

Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li

Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy

Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo

PartialFormer: Modeling Part Instead of Whole for Machine Translation

Tong Zheng, Bei Li, Huiwen Bao, Jiale Wang, Weiqiao Shan

BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models

Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong

MS2SL: Multimodal Spoken Data-Driven Continuous Sign Language Production

Jian Ma, Wenguan Wang, Yi Yang, Feng Zheng

Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems

Christos Vlachos, Themos Stafylakis, Ion Androutsopoulos

Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations

Lvxue Li, Jiaqi Chen, Xinyu Lu, Yaojie Lu, Hongyu Lin

Personalized Topic Selection Model for Topic-Grounded Dialogue

Shixuan Fan, Wei Wei, Xiaofei Wen, Xian-Ling Mao, Jixiong Chen

Benchmarking and Improving Long-Text Translation with Large Language Models

Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang

RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter

Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang

Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning

Lukas Christ, Shahin Amiriparian, Manuel Milling, Ilhan Aslan, Björn Schuller

Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition

Ariel Goldstein, Gabriel Stanovsky

SoFA: Shielded On-the-fly Alignment via Priority Rule Following

Xinyu Lu, Bowen Yu, Yaojie Lu, Hongyu Lin, Haiyang Yu

Spotting AI’s Touch: Identifying LLM-Paraphrased Spans in Text

Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi

Continual Dialogue State Tracking via Reason-of-Select Distillation

Yujie Feng, Bo Liu, Xiaoyu Dong, Zexin Lu, Li-Ming Zhan

Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration

Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan

Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective

Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu

LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation

Ikuya Yamada, Ryokan Ri

DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling

Shanghaoran Quan

Plan, Generate and Complicate: Improving Low-resource Dialogue State Tracking via Easy-to-Difficult Zero-shot Data Augmentation

Ming Gu, yan yang

LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models

Xi Chen, Songyang Zhang, Qibing Bai, Kai Chen, Satoshi Nakamura

RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering

Zihan Zhang, Meng Fang, Ling Chen

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu

Chinese Spelling Corrector Is Just a Language Learner

Lai Jiang, Hongqiu Wu, Hai Zhao, Min Zhang

Identifying Semantic Induction Heads to Understand In-Context Learning

Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Quanshi Zhang

MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark

Hongwei Liu, Zilong Zheng, Yuxuan Qiao, Haodong Duan, Zhiwei Fei

PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning

Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun

Learning to Maximize Mutual Information for Chain-of-Thought Distillation

Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao

REInstruct: Building Instruction Data from Unlabeled Corpus

Shu Chen, Xinyan Guan, Yaojie Lu, Hongyu Lin, Xianpei Han

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models

Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou

Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment

Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan, Wenjie Li

ETAS: Zero-Shot Transformer Architecture Search via Network Trainability and Expressivity

Jiechao Yang, Yong Liu

StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing

Gaoxiang Cong, Yuankai Qi, Liang Li, Amin Beheshti, Zhedong Zhang

A Unified Generative Framework for Bilingual Euphemism Detection and Identification

Yuxue Hu, Junsong Li, Tongguan Wang, Dongyu Su, Guixin Su

VISREAS: Complex Visual Reasoning with Unanswerable Questions

Syeda Nahida Akter, Sangwu Lee, Yingshan Chang, Yonatan Bisk, Eric Nyberg

Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He

PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs

Jiuzhou Han, Nigel Collier, Wray Buntine, Ehsan Shareghi

Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation

Shuya Lin, Yuxiong Wang, Jonathan Dong, Shiguang Ni

Towards Uncertainty-Aware Language Agent

Jiuzhou Han, Wray Buntine, Ehsan Shareghi

Forward-Backward Reasoning in Large Language Models for Mathematical Verification

Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang

LLM can Achieve Self-Regulation via Hyperparameter Aware Generation

Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng

Whose Emotions and Moral Sentiments do Language Models Reflect?

Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman

It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance

Laura Cabello, Uchenna Akujuobi

A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts

Gokcen Gokceoglu, Devrim Çavuşoğlu, Emre Akbas, Özen Dolcerocca

Text Simplification via Adaptive Teaching

Seyed Ali Bahrainian, Jonathan Dou, Carsten Eickhoff

Learning Multimodal Contrast with Cross-modal Memory and Reinforced Contrast Recognition

Yuanhe Tian, Fei Xia, Yan Song

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models

Gantavya Bhatt, Yifang Chen, Arnav Das, Jifan Zhang, Sang Truong

The Power of Summary-Source Alignments

Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal