ACL 2026

2,650 papers

EfficientTool: A Cost-Effective Aligning Framework for Tool-Conditioned Agents in SME Scenarios

Yuanqi Mu, Bingfeng.Pi, Defei Xia, Lei.Zuo, Yongqi Zhang

Enhancing Online Recruitment with Category-Aware MoE and LLM-based Data Augmentation

Minping Chen, Bing Xu, Zulong Chen, Chuanfei Xu, Ying Zhou

From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines

Sunkyung Lee, Jihye Back, DongHyeon Jeon, Soonhwan Kwon, Moonkwon Kim

Think Like You Execute: Verifiable Chain of Thought from Program Traces

Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni, Shivdeep Singh, Parameswaran Selvam

LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference

Shashank Kapadia, Deep Narayan Mishra, Sujal Reddy Alugubelli, Haoan Wang, Saipraveen Vabbilisetty

MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment

Hanxian Huang, Igor Fedorov, Andrey Gromov, Bernard Beckerman, Naveen Suda

Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous Data

Fearghal O’Donncha, Nianjun Zhou, Natalia Martinez, James T Rayfield, Fenno F. Heath Iii

IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance

Chathurangi Shyalika, Dhaval C Patel, Amit Sheth

AIDA-SEAT: Towards Reliable AI Doctor Assistant via State-Evaluation-Action Tree Enhanced LLMs in Online Hospital

Lianxin Sun, Xiaoying Ying, Guangya Yu, Weiyan Zhang, Chenhao Guan

ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making

Yusuke Watanabe, Yohei Kobashi, Takeshi Kojima, Yusuke Iwasawa, Yasushi Okuno

ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution

Jihong Wang, Jiamu Zhou, Weiming Zhang, Teng Wang, Weiwen Liu

SAJA: A Simple Approach to Judge Alignment for LLM-as-a-Judge

Sneha Kola, Pankaj Kumar Sharma, Soumyadeep Dey, Bamdev Mishra, Mayur Datar

DuIVRS-2: An LLM-based Interactive Voice Response System for Large-scale POI Attribute Acquisition

Le Zhang, Shengming Zhang, Rui Zha, Wu Yunpeng, Jingbo Zhou

A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting

Yu Lei, Zixuan Wang, Yiqing Feng, Junru Zhang, Yahui Li

Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA

Wenwei Li, Ming Xu, Tianle Xia, Lingxiang Hu, Yiding Sun

Grounded Multimodal In-Context Learning for Product Weight Estimation at Scale in E-commerce

Bhavuk Singhal, Arsh Keshari, Ravindra Kumar Yadav

Progressive Fine-Tuning for Cost-Effective Structured Attribute Generation in E-commerce

Lakshman Kolasani, Fatemeh Taheri Dezaki

Small Agents, Big Gains: Journey-Aware and Critic-Guided Simulation for Long-Horizon Shopping Dialogues

Qing Ping, Changyou Chen, Binxuan Huang

From Short Video to Clickable Search: RLVR-Enabled Listwise Query Suggestion with Retrieval-Augmented Context

Mingkai Tian, Xuye, Long Meng, Liwei Chen, Zhiheng Qin

AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use

Yuanjie Lyu, Chengyu Wang, Haonan Zheng, Yuanhao Yue, Junbing Yan

Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training

Tianle Xia, Ming Xu, Lingxiang Hu, Yiding Sun, Wenwei Li

NEST: Nested Evidence Survival for Retrieval

Akshay Verma, Siddharth Pillai, Prateek Sircar, Deepak Gupta

Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment from Heterogeneous Rewards

Xia Zeng, Yihan Chen, Luhui Liu, Chao Luo, Ye Chen

Learning from Textual Radiology Reports: A Benchmark Dataset for Coronary CT Angiography

Sudharshan Balaji, Zhiyu Liu, Zhengyuan Jiang, Shuo Lei, Yimin Chen

UNIVID: Unified Vision-Language Model for Video Moderation

Kejuan Yang, Yizhuo Zhang, Mingyuan Du, Yue Zhang, Dixin Zheng

Optimizing Retrieval-Augmented Generation for E-Commerce How-To Assistance

Gilad Fuchs, Leonid Ekimov, Fei Dong, Jiahong Xie, Wei Liu

Reason-Code: Reliable Code Generation via Test-Driven Monte Carlo Tree Search

Zixu Li, Zhiqi Peng

Agent-Ops: A Multi-Agent Orchestration Framework for End-to-End SOP Automation in E-Commerce Operations

APOORVA SINGH, Sanjay Agrawal, Sayanta Adhikari, Vinayak S Puranik, Shivam Tiwari

Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs

Kyungho Kim, Yeonje Choi, Gyurim Hwang, Sejin Chung, Hongseok Lee

GeoGround: Uncertainty-Weighted Multi-Task Learning for Geo-Alignment and Address Defect Detection

Srinivas Virinchi, Aman Gulati, Anoop Saladi

DeepResearch Retail: Benchmarking Tool-Augmented Deep Research in the E-Commerce Domain

Rafael Ferreira, Flavio Di Palo, Huilin Lu, Ayush Jain, Harsha Aduri

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models

Yuan Zhong, Chuanwei Ruan, Moein Hasani, Tejaswi Tenneti, Haixun Wang

ℛ3: Advertisement Compliance ℛectification via Group-ℛelative Experience Extractor and Curriculum ℛeinforcement

Yuan Chen, Zhenyu Hu, Mengge Xue, Cao Te, Liqun Liu

SSR-A: Spatial- and Semantic-Aware Instructions and Curriculum Reinforcement for Advertisement Compliant Rectification

Cao Te, Mengge Xue, Zhenyu Hu, Yuan Chen, Liqun Liu

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach

Zhihao Lin, Ziqi Zhu, Hao Huang, Guanghui Wang, Peiyang He

Policy Compliance of User Requests in Natural Language for AI Systems

Pedro Cisneros-Velarde

Mixture of Heterogeneous Grouped Experts for Language Modeling

Zhicheng Ma, Xiang Liu, Zhaoxiang Liu, Ning Wang, Yi Shen

Proximity-Based Multi-Turn Optimization: Practical Credit Assignment for LLM Agent Training

Yangyi Fang, Jiaye Lin, Xiaoliang Fu, Cong Qin, Haolin Shi

Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models

Kyudan Jung, Jihwan Kim, Soyoon Kim, Jeonghoon Kim, Jaegul Choo

Motivating Next-Gen Accelerators with Flexible N:M Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches

Shirin Alanova, Kristina Kazistova, Ekaterina Galaeva, Alina Kostromina, Vladimir Smirnov

IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters

Hongwei Zheng, Weiqi Wu, Zhengjia Wang, Guanyu Jiang, Haoming Li

Detecting AI-Generated Content on Social Media with Multi-modal Language Models

Chenyang Yang, Shen Yan, Yibo Yang, Litao Hu, Yuchen Liu

Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation

Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, Chenxi Whitehouse, Adina Williams

TaoType: Predicting Fine-Grained Typing Intent for Faster Search

Yipeng Yu, Yichen Yuan, Chengxiao Feng, Xu Liu

DocSplit: A Comprehensive Benchmark Dataset and Evaluation Approach for Document Packet Recognition and Splitting

Md Mofijul Islam, Md Sirajus Salekin, Nivedha Balakrishnan, Vincil C. Bishop III, Niharika Jain

HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy

Fan Xu, Xinyu Hu, Zhenghan Yu, Li Lin, Xu Zhang

R³A: Reinforced Reasoning for Relevance Assessment for RAG in User-Generated Content Platforms

Xiaowei Yuan, Lei Jin, Haoxin Zhang, Ziyang Huang, Yan Gao

Synthetic Text Detection in the Age of Large Language Models: Watermark vs. Automatic Detection

Adaku Uchendu

ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring

Deyi Ji, Junyu Lu, Xuanyi Liu, Liqun Liu, Hailong Zhang

TeachMaster: Generative Teaching via Code

Yuheng Wang, Runde Yang, Lin Wu, Jie Zhang, Jingru Fan

Improving Hate Speech Detection by Fusing Textual and User Interaction Representations in Online Communities

Xu Gao, Dong Jing, Kee-hung Lai

Is Agentic RAG worth it? An experimental comparison of RAG approaches

Pietro Ferrazzi, Milica Cvjetićanin, Alessio Piraccini, Davide Giannuzzi

Leveraging Generative AI for Extracting Business Requirements from Legacy COBOL and PL/I Code

Ankur Kalohia

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Junbo Niu, Zheng Liu, Zhuangcheng Gu, Bin Wang, Linke Ouyang

Smarter, not Bigger: Fine-Tuned RAG-Enhanced LLMs for Automotive Hardware-in-the-Loop Testing

Chao Feng, Zihan Liu, Siddhant Gupta, Jan von der Assen

The Interplay between Metaphors and NLP

Joanne Boisson, Jose Camacho-Collados, Elisa Sanchez-Bayona, Rodrigo Agerri

Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society

Zheyuan Liu, Yixin Wan, Kai-Wei Chang, Meng Jiang, Jieyu Zhao

Current Advances in LLM Reasoning

Akhil Arora, Vishrav Chaudhary, Julia Kreutzer, Nearchos Potamitis, Nouha Dziri

Towards Effective and Efficient Multi-Agent Language Model Systems: Foundations, Prospects, and Applications

Xuan Wang, Shuxiang Cao, Yuchen Zhuang, Wenqi Shi

The Data Frontier for Large Language Models: Selection, Synthesis, and Tools

Lijun Wu, Wentao Zhang, Conghui He

Future of Work in the Age of LLMs

Zora Wang, Yijia Shao, David Nguyen, Diyi Yang

One Task Vector is not Enough: A Large-Scale Study for In-Context Learning

Pavel Tikhonov, Ivan Oseledets, Elena Tutubalina

Continuous Context Sampling Allows Extending Diversity Boundaries of Large Language Models

Mateusz Bystroński, Doheon Han, Nitesh V. Chawla, Tomasz Jan Kajdanowicz

LLM as a Meta-Judge: Synthetic Data for NLP Evaluation Metric Validation

Lukáš Eigler, Jindřich Libovický, David Hurych

Optimizing Packing and Shuffling Strategies for Enhanced Performance in Generative Language Models

Yanbing Chen, Ruilin Wang, Zihao Yang, Lavender Yao Jiang, Eric Karl Oermann

CRL-Prompt: Contrastive and Reinforcement Learning for Soft Prompt Tuning for Text Classification

Danila Lapokin, Andrey Savchenko

Convergent Demographic Utility Hierarchies: Geometry of Intersectional Values in LLMs

Pravish Sainath

The Confident Liar: Diagnosing Multi-Agent Debate with Log-Probabilities and LLM-as-Judge

Ali Keramati, Justin Cheok, Jacob Horne, Mark Warschauer

Learning Shortcut Models for Efficient Recursive Reasoning

Shiv Shankar

Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World Modeling

Ayan Sar, Pranav Singh Puri, Sumit Aich, Anurag Kaushish, Tanupriya Choudhury

Mind the Gap: Multilingual Divide in LLM Bias Detection and Reasoning

Medha Hira, Prachi Goyal, Raj Maheshwari, Arnav Goel

Thesis Proposal: A Normalization-First Framework for Sound, Complete, and Utility-Ready Open Information Extraction

Chandan Prakash, Pavan Kumar Chittimalli, Arnab Bhattacharya

Evolutionary Search for Automated Design of Uncertainty Quantification Methods

Mikhail Seleznyov, Daniil Korbut, Viktor Moskvoretskii, Oleg Somov, Alexander Panchenko

Factual State Discovery Benchmark: Evaluating Fact Elicitation in Polish Tax Law

Mateusz Bystroński, Kamil Tagowski, Denis Janiak, Julia Farganus, Lukasz Augustyniak

Reference-Free Schema Generation for Literature Review Tables via Multi-Faceted Rewards

Sinjoy Saha, Suman Saha, Mahfuza Farooque, Wenpeng Yin

Thesis Proposal: Intentional Inference for Insight Generation

Kristýna Onderková

LLM Parameters for Math Across Languages: Shared or Separate?

Behzad Shomali, Luisa Victor, Tim Selbach, Ali Hamza Bashir, David Berghaus

Evaluation of Multilingual Ability to Use Spatial Deictic Expressions in Vision-Language Models

Kaito Watanabe, Taisei Yamamoto, Tomoki Doi, Hitomi Yanaka

Representing Lean Proofs as Trajectories in Latent Space

Elisaveta Samoylov, Soroush Vosoughi

Linguistically-Informed Evaluation of LLMs on Acceptability Judgments in a Forced-Choice Paradigm

Ziyue Liu, Nils Reiter

Disentangling Meaning and Language Components in Diverse Multilingual Sentence Embeddings

Kanade Nonomura, Keita Fukushima, Risa Kondo, Tomoyuki Kajiwara

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models

Divyaksh Shukla, Ashutosh Modi

Constructing a Japanese Verdict Prediction Dataset for Fact-Checking of LLM-Generated Texts

Miwa Masano, Hirokazu Kiyomaru, Atsushi Keyaki, Kaito Horio, Rei Minamoto

Contextual Diversity Measure (CDM) for Controllable Story Generation in Large Language Models

Richard Susilo, Hanna Suominen, Patrik Haslum

Thesis Proposal: Auditing and Mitigating Demographic Bias in Multi-Stage Retrieval Systems for Criminal Justice Applications

Archan Dutta

Through the Looking Glass of Multilingual AI: Contrasting Language- and Name Script-Dependent Ethnic Hierarchies in GPT and DeepSeek

Annabella Sakunkoo, Jonathan Sakunkoo

TableMBR: Minimum Bayes Risk Table Generation Based on Structural Consistency

Daiki Yoshida, Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe

Processing Inconsistency Predicts Language Competence: LLM Evaluation Without Answer Labels on Turkic Languages

Ilya Galyukshev, Ilseyar Alimova

Morphology-Aware Multi-Granularity Representation Learning for Agglutinative Languages

Zhonghao Zhang, Na Liu, Jiajia Ma, Nier Wu, Guiping Liu

Analysis of the Neglect-Zero Effect in Large Language Models

Jin Tanaka, Daiki Matsuoka, Ryoma Kumon, Hitomi Yanaka

LLM-Based Zero-Shot Soft Labeling for Anticipating Disagreement in Negotiation Dialogues

Ken Watanabe, Katsuhide Fujita

Boosting Self-Consistency with Ranking

Maria Marina, Daniil Moskovskiy, Sergey Pletenev, Mikhail Salnikov, Alexander Panchenko

Beyond Discrete Search: Divergent Thinking as Intention Optimization in Latent Space

Mateusz Bystroński, Grzegorz Piotrowski, Tomasz Jan Kajdanowicz

From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific Communication

Ishani Mondal

Fine-Grained Semantic Comparison of Legal Documents using LLMs

Elisei Rykov, Nikolay Ivanov, Maria Bandulevich, Kseniia Petrushina, Valentin Malykh

How Hard is Math? Using Quantitative Metrics to Measure LLM Alignment to Human Intuitions of Difficulty

Micah Helzerman, Steven R Wilson, Cam McLeman

Mechanistic Analysis Of Universality: Numerical Comparison Circuits Across Transformer Architectures

Arya Bhardia, Julian Ramirez, Siddhanta Verma, Karen Mkrtchyan

Filling the Long Tail: Structure-Aware Curriculum-Gap Completion for Medical Education with LLMs

Wenjie Lin

What Moves the Pareto Frontier in Tool-Using Agents? A Compute-Aware Study of ReAct Variants

Rishi N. Simhadri

Tonal Salience in Cognitive Decline: In-Context MCI Detection with Multimodal LLMs

Christopher Song, Abdullah P. Rashed Ahmed