ACL 2025

4,141 papers

OccuTriage: An AI Agent Orchestration Framework for Occupational Health Triage Prediction

Alok Kumar Sahu, Yi Sun, Eamonn Swanton, Farshid Amirabdollahian, Abi Wren

Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?

Md Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub, Ahmed Masry, Mizanur Rahman

Sentiment Reasoning for Healthcare

Khai-Nguyen Nguyen, Khai Le-Duc, Bach Phan Tat, Le Duy, Long Vo-Dang

FINKRX: Establishing Best Practices for Korean Financial NLP

Guijin Son, Hyunwoo Ko, Hanearl Jung, Chami Hwang

MICE: Mixture of Image Captioning Experts Augmented e-Commerce Product Attribute Value Extraction

Jiaying Gong, Hongda Shen, Janet Jenq

MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder

Khai Le-Duc, Phuc Phan, Tan-Hanh Pham, Bach Phan Tat, Minh-Huong Ngo

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications

Yanxiang Zhang, Zheng Xu, Shanshan Wu, Yuanbo Zhang, Daniel Ramage

AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning

Jiayu Li, Jennifer Zhu, Fang Liu, Yanjun Qi

MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation

Hsin-Ling Hsu, Cong-Tinh Dao, Luning Wang, Zitao Shuai, Thao Nguyen Minh Phan

sudo rm -rf agentic_security

Sejin Lee, Jian Kim, Haon Park, Ashkan Yousefpour, Sangyoon Yu

Domain Adaptation of Foundation LLMs for e-Commerce

Christian Herold, Michael Kozielski, Tala Bazazo, Pavel Petrushkov, Yannick Versley

Interpretable Company Similarity with Sparse Autoencoders

Marco Molinari, Victor Shao, Luca Imeneo, Mateusz Mikolajczak, Abhimanyu Pandey

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems

Hansa Meghwani, Amit Agarwal, Priyaranjan Pattnayak, Hitesh Laxmichand Patel, Srikant Panda

SQLGenie: A Practical LLM based System for Reliable and Efficient SQL Generation

Pushpendu Ghosh, Aryan Jain, Promod Yenigalla

User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems

Jianling Wang, Yifan liu, Yinghao Sun, Xuejian Ma, Yueqi Wang

AutoChunker: Structured Text Chunking and its Evaluation

Arihant Jain, Purav Aggarwal, Anoop Saladi

Small Language Models in the Real World: Insights from Industrial Text Classification

Lujun Li, Lama Sleem, Niccolo’ Gentile, Geoffrey Nichil, Radu State

Enhancing LLM-as-a-Judge through Active-Sampling-based Prompt Optimization

Cheng Zhen, Ervine Zheng, Jilong Kuang, Geoffrey Jay Tso

A Framework for Flexible Extraction of Clinical Event Contextual Properties from Electronic Health Records

Shubham Agarwal, Thomas Searle, Mart Ratas, Anthony Shek, James Teo

MotiR: Motivation-aware Retrieval for Long-Tail Recommendation

Kaichen Zhao, Mingming Li, Haiquan Zhao, Kuien Liu, Zhixu Li

LEAP & LEAN: Look-ahead Planning and Agile Navigation for LLM Agents

Nikhil Verma, Manasa Bharadwaj

ASK: Aspects and Retrieval based Hybrid Clarification in Task Oriented Dialogue Systems

Rishav Sahay, Lavanya Sita Tekumalla, Purav Aggarwal, Arihant Jain, Anoop Saladi

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation

Zixuan Wang, Jinghao Shi, Hanzhong Liang, Xiang Shen, Vera Wen

Operational Advice for Dense and Sparse Retrievers: HNSW, Flat, or Inverted Indexes?

Jimmy Lin

A Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant

Sunjun Kweon, Sooyohn Nam, Hyunseung Lim, Hwajung Hong, Edward Choi

SLENDER: Structured Outputs for SLM-based NER in Low-Resource Englishes

Nicole Ren, James Teo

Semantic Outlier Removal with Embedding Models and LLMs

Eren Akbiyik, João F. M. De Almeida, Rik Melis, Ritu Sriram, Viviana Petrescu

Advanced Messaging Platform (AMP): Pipeline for Automated Enterprise Email Processing

Simerjot Kaur, Charese Smiley, Keshav Ramani, Elena Kochkina, Mathieu Sibue

Enriching children’s stories with LLMs: Delivering multilingual data enrichment for children’s books at scale and across markets

Zarah Weiss, Christof Meyer, Mikael Andersson

FoodTaxo: Generating Food Taxonomies with Large Language Models

Pascal Wullschleger, Majid Zarharan, Donnacha Daly, Marc Pouly, Jennifer Foster

PlanGPT: Enhancing Urban Planning with a Tailored Agent Framework

He Zhu, Guanhua Chen, Wenjia Zhang

ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry

Qinwen Chen, Wenbiao Tao, Zhiwei Zhu, Mingfan Xi, Liangzhong Guo

Privacy Preserving Data Selection for Bias Mitigation in Speech Models

Alkis Koudounas, Eliana Pastor, Vittorio Mazzia, Manuel Giollo, Thomas Gueudre

SpeechWeave: Diverse Multilingual Synthetic Text & Audio Data Generation Pipeline for Training Text to Speech Models

Karan Dua, Puneet Mittal, Ranjeet Gupta, Hitesh Laxmichand Patel

Proactive Guidance of Multi-Turn Conversation in Industrial Search

Xiaoyu Li, Xiao Li, Li Gao, Yiding Liu, Xiaoyang Wang

Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs

Maxime Delmas, Magdalena Wysocka, Danilo Gusicuma, Andre Freitas

Speed Without Sacrifice: Fine-Tuning Language Models with Medusa and Knowledge Distillation in Travel Applications

Daniel Zagyva, Emmanouil Stergiadis, Laurens Van Der Maas, Aleksandra Dokic, Eran Fainman

LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Law

Santosh T.y.s.s, Mahmoud Aly, Oana Ichim, Matthias Grabmair

Learning from Litigation: Graphs for Retrieval and Reasoning in eDiscovery

Sounak Lahiri, Sumit Pai, Tim Weninger, Sanmitra Bhattacharya

Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models

George Kour, Itay Nakash, Michal Shmueli-Scheuer, Ateret Anaby Tavor

Optimization before Evaluation: Evaluation with Unoptimized Prompts Can be Misleading

Nicholas Sadjoli, Tim Siefken, Atin Ghosh, Yifan Mai, Daniel Dahlmeier

ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry

Junjie Jiang, Haodong Wu, Yongqi Zhang, Songyue Guo, Bingcen Liu

Scaling Under-Resourced TTS: A Data-Optimized Framework with Advanced Acoustic Modeling for Thai

Yizhong Geng, Jizhuo Xu, Zeyu Liang, Jinghan Yang, Xiaoyi Shi

To Chat or Task: a Multi-turn Dialogue Generation Framework for Task-Oriented Dialogue Systems

Daniel Rim, Minsoo Cho, Changwoo Chun, Jaegul Choo

EdgeInfinite: A Memory-Efficient Infinite-Context Transformer for Edge Devices

Jiyu Chen, Shuang Peng, Daxiong Luo, Fan Yang, Renshou Wu

Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction

Yinghui Li, Shang Qin, Jingheng Ye, Haojing Huang, Yangning Li

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines

Ohjoon Kwon, Changsu Lee, Jihye Back, Lim Sun Suk, Inho Kang

Conceptual Diagnostics for Knowledge Graphs and Large Language Models

Rosario Uceda Sosa, Maria Chang, Karthikeyan Natesan Ramamurthy, Moninder Singh

RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification

Praphul Singh, Charlotte Dzialo, Jangwon Kim, Sumana Srivatsa, Irfan Bulu

AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization

Abhinav Gupta, Devendra Singh, Greig A Cowan, N Kadhiresan, Siddharth Srivastava

Grammar-Constrained Decoding Makes Large Language Models Better Logical Parsers

Federico Raspanti, Tanir Ozcelebi, Mike Holenderski

Generating Q&A Benchmarks for RAG Evaluation in Enterprise Settings

Simone Filice, Guy Horowitz, David Carmel, Zohar Karnin, Liane Lewin-Eytan

Overlapping Context with Variable-Length Stride Increases Diversity when Training Large Language Model for Code

Geonmo Gu, Jaeho Kwak, Haksoo Moon, Hyun Seung Shim, Yu Jin Kim

HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search

Fuwei Zhang, Xiaoyu Liu, XINYU JIA, Yingfei Zhang, Zenghua Xia

Model Merging for Knowledge Editing

Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng

LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions

Yejin Kwon, Daeun Moon, Youngje Oh, Hyunsoo Yoon

TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models

Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong

A Perspective on LLM Data Generation with Few-shot Examples: from Intent to Kubernetes Manifest

Antonino Angi, Liubov Nedoshivina, Alessio Sacco, Stefano Braghin, Mark Purcell

Transforming Podcast Preview Generation: From Expert Models to LLM-Based Systems

Winstead Zhu, Ann Clifton, Azin Ghazimatin, Edgar Tanaka, Ward Ronan

Efficient Out-of-Scope Detection in Dialogue Systems via Uncertainty-Driven LLM Routing

Álvaro Zaera, Diana Nicoleta Popa, Ivan Sekulic, Paolo Rosso

Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

Liang Wen, Yunke Cai, Fenrui Xiao, XIN HE, Qi An

CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction

Harsh Maheshwari, Srikanth Tenneti, Alwarappan Nakkiran

LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences

Yusuke Hirota, Boyi Li, Ryo Hachiuma, Yueh-Hua Wu, Boris Ivanovic

Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection

Mykola Trokhymovych, Lydia Pintscher, Ricardo Baeza-Yates, Diego Sáez Trumper

Arctic-TILT. Business Document Understanding at Sub-Billion Scale

Łukasz Borchmann, Michał Pietruszka, Wojciech Jaśkowski, Dawid Jurkiewicz, Piotr Halama

CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition

Zejun Xie, Zhiqing Hong, Wenjun Lyu, Haotian Wang, Guang Wang

Generating OpenAPI Specifications from Online API Documentation with Large Language Models

Koren Lazar, Matan Vetzler, Kiran Kate, Jason Tsay, David Boaz

NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language Model

Yen-Ting Lin, Zhehuai Chen, Piotr Żelasko, Zhen Wan, Xuesong Yang

Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models

Somshubra Majumdar, Vahid Noroozi, Mehrzad Samadi, Sean Narenthiran, Aleksander Ficek

Run LoRA Run: Faster and Lighter LoRA Implementations

Daria Cherniuk, Aleksandr Mikhalev, Ivan Oseledets

TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notes

Raj Sanjay Shah, Lei Xu, Qianchu Liu, Jon Burnsky, Andrew Bertagnolli

SocialForge: simulating the social internet to provide realistic training against influence operations

Ulysse Oliveri, Guillaume Gadek, Alexandre Dey, Benjamin Costé, Damien Lolive

RUBRIC-MQM : Span-Level LLM-as-judge in Machine Translation For High-End Models

Ahrii Kim

Multi-Step Generation of Test Specifications using Large Language Models for System-Level Requirements

Dragan Milchevski, Gordon Frank, Anna Hätty, Bingqing Wang, Xiaowei Zhou

ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research

Zhiyuan Wang, Bokui Chen, Yinya Huang, Qingxing Cao, Ming He

LLM-Enhanced Self-Evolving Reinforcement Learning for Multi-Step E-Commerce Payment Fraud Risk Detection

Bo Qu, Zhurong Wang, Daisuke Yagi, Zach Xu, Yang Zhao

Towards Multi-System Log Anomaly Detection

Boyang Wang, Runqiang Zang, Hongcheng Guo, Shun Zhang, Shaosheng Cao

MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection

Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu

Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing

Chen Wu, Yin Song

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation

Nicolas Bougie, Narimawa Watanabe

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models

Chengyu Wang, Junbing Yan, Yuanhao Yue, Jun Huang

RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning

Deyi Ji, Yuekui Yang, Haiyang Wu, Shaoping Ma, Tianrun Chen

Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively

Jiawei Gu, Shangsong Liang

ACL 2025 Industry Track: Overview

Georg Rehm, Yunyao Li

Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications

Traian Rebedea, Leon Derczynski, Shaona Ghosh, Makesh Narsimhan Sreedhar, Faeze Brahman

Synthetic Data in the Era of Large Language Models

Vijay Viswanathan, Xiang Yue, Alisa Liu, Yizhong Wang, Graham Neubig

NLP for Counterspeech against Hate and Misinformation (CSHAM)

Daniel Russo, Helena Bonaldi, Yi-Ling Chung, Gavin Abercrombie, Marco Guerini

Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers

Luciana Benotti, Fanny Ducel, Karën Fort, Guido Ivetta, Zhijing Jin

Human-AI Collaboration: How AIs Augment Human Teammates

Sherry Wu, Diyi Yang, Joseph Chang, Marti A. Hearst, Kyle Lo

Uncertainty Quantification for Large Language Models

Artem Shelmanov, Maxim Panov, Roman Vashurin, Artem Vazhentsev, Ekaterina Fadeeva

Eye Tracking and NLP

David Reich, Omer Shubi, Lena Jäger, Yevgeni Berzak

Inverse Reinforcement Learning Meets Large Language Model Alignment

Mihaela van der Schaar, Hao Sun

Bridging the Data Gap in Financial Sentiment: LLM-Driven Augmentation

Rohit Kumar, Chandan Nolbaria

Testing English News Articles for Lexical Homogenization Due to Widespread Use of Large Language Models

Sarah Fitterer, Dominik Gangl, Jannes Ulbrich

LIP-NER: Literal Patterns Benefit LLM-Based NER

Ruiqi Li, Li Chen

Sign Language Video Segmentation Using Temporal Boundary Identification

Kavu Maithri Rao, Yasser Hamidullah, Eleftherios Avramidis

GenDLN: Evolutionary Algorithm-Based Stacked LLM Framework for Joint Prompt Optimization

Pia Chouayfati, Niklas Herbster, Ábel Domonkos Sáfrán, Matthias Grabmair

RusConText Benchmark: A Russian Language Evaluation Benchmark for Understanding Context

Andrey Chirkin, Svetlana Kuznetsova, Maria Volina, Anna Dengina

Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation

Juyuan Zhang, Jiechao Gao, Wenwen Ouyang, Wei Zhu, Hui Yi Leong

QA Analysis in Medical and Legal Domains: A Survey of Data Augmentation in Low-Resource Settings

Benedictus Kent Rachmat, Thomas Gerald, Zheng Zhang, Cyril Grouin