ACL 2026

2,650 papers

Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation

Luke Zhang, Justin Vasselli, Aditya Khan, York Hay Ng, En-Shiun Annie Lee

Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints

Kei Moriyama, Kouta Nakayama, Yukino Baba

Thesis Proposal: When Does an Agent Know It Is Lost? Confidence Trajectory Analysis for Tool-Using LLMs

Zhenjiang Mao

LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks

Yuxuan Lu, Bingsheng Yao, Shao Zhang, Yisi Sang, Yun Wang

One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction

Yuxing Lu, Yushuhong Lin, Jason Zhang

Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI Alignment

Deepak Pandita, Christopher M. Homan

When Models Hesitate: Answer Instability as a Label-Free Uncertainty Signal for LLMs

Jasper Meynard Arana, Kristine Ann M. Carandang, Ethan Robert Casin, Christian Alis, Christopher Monterola

Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification

Sercan Karakaş, Yusuf Şimşek

Conformal LLM Routing with Distribution-Free Safety Guarantees

Iqtedar Uddin, André Bauer

Validator-Guided Hard Negative Mining for Masked Language Modeling in Low-Resource Ancient Languages

Andrei Voinea

RegTrack: A Fine-Grained Benchmark for Multi-Class Legal Change Detection

Joe Yu, Kevin Chenhao Li, Julian Ostarek

Thesis Proposal: Self-Adaptive and Epistemic Uncertainty-Guided ASR of Dense Intra-Sentential Code-Switched Speech for African Low-Resource Languages

Umar Baba Umar, Sulaimon Adebayo Bashir, Abdulmalik Danlami Mohammed, Amina Gogo Tafida

Understanding Conversational Implicatures in Humans and LLMs

Daeun Kang

Does Topic Sentiment Cause Perceived Ideology? Comparing Human and LLM Annotations in Political News Articles

Upasana Chatterjee

Fusion Training for Mathematical Generalization in Large Language Models

Congfeng Cao, Pengyu Zhang, Jelke Bloem

PE-QAT: Parameter-Efficient Quantization-Aware Training for Large Language Models

Shresth Mishra

Disentangling Linguistic Relatedness from Task Alignment in Cross-Lingual Transfer

Ahmed Haj Ahmed, Ruochen Zhang, Alvin C Grissom II

Inference-Time Feedback for Reasoning Controllability in Diffusion Language Models

Clovis Barbour, Huixin Zhan

LAMP-MedQA: A Lightweight Multi-Agent System for Patient-Oriented Medical Question Answering

Jack A. Johnson, Meghali Banerjee, Joseph Crawford, James Welch, Jim Davies

Measuring and Mitigating Shortcut Reliance in Language Models with Probe-Based Representation Entanglement

Divyajot Singh

CBAL: Context-Based Agentic Learning for Speaker Diarization Segmentation Refinement

Odwitiyo Dutta, Dinesh K Vishwakarma

Faithfulness Beyond Plausibility: Auditing Human Explanations in Educational Assessment

Ria Talsania, Dhruv Ritesh Shah, Sudhir Dhage

Probing Bias Formation in Medical LLMs through Activation Steering

Bayram Ayadi, Annette Hautli-Janisz

From Graphs to Hypergraphs: Enhancing Aspect-Term Sentiment Analysis via Multi-Level Relational Modeling

Omkar Mahesh Kashyap, Padegal Amit, Madhav Kashyap, Ashwini M Joshi, Shylaja S S

Counterspeech Generation using Small Language Models

Abubakar Sadiq Muhammad, Simona Frenda, Gavin Abercrombie

A11y-Compressor: A Framework for Enhancing the Efficiency of GUI Agent Observations through Visual Context Reconstruction and Redundancy Reduction

Michito Takeshita, Takuro Kawada, Takumi Ohashi, Shunsuke Kitada, Hitoshi Iyatomi

Thesis Proposal: Targeted and Unified Cross-Lingual Unlearning from Multilingual Language Models

Jan Bronec, Jindřich Helcl

CAL-Log: Cost-Aware Active Learning with Logarithmic Cognitive Effort Modeling and Online Adaptation to Human Annotation Behavior

Vihanga Supasan Kariyakaranage, Banuka Athuraliya

Leakage-Aware User-Level ADHD Signal Classification from Social Media: When Graph Aggregation Helps, and When It Does Not

Daniel Cieślak, Władysław Średniawa

The Silence of the Facts: Popularity as a Barrier to Machine Unlearning

Anna Borisiuk, Andrey Savchenko, Alexander Panchenko, Elena Tutubalina

Analyzing Hate Speech Amplification on Fringe Platforms

Anika Ghosh Basu, Humberto Jesus Carlon, Junyi Liu

Does Locality Cost in Polish Medical Text Classification? Duplicate-Aware Evaluation of Federated Learning

Daniel Cieślak, Andrzej Czyżewski

Thesis Proposal: Diagnosing and Mitigating Semantic Interference in Script-Sharing Low-Resource Language Models: A Case Study on Square Bai Script

Jingting Zheng, Deyi Xiong

Eye Movement Features Can Predict Human Preferences on Machine-Generated Texts

Xiaoshan He, Xiaoqun Liu, Haodong He, Yu Wang, Yang Xu

Test-Time Strategies for More Efficient and Accurate Agentic RAG

abhinav sharma, Brian Zhang, Deepti Guntur, Zhiyang Zuo, Shreyas Chaudhari

Thesis Proposal: An Explainable Multimodal Framework for Detecting Harmful Content in Code-Switched Children’s Media

Juliana Isabelle A. Guillermo, Jasper Kyle Catapang, Nathaniel Oco

Semantic Span Annotation: An Exploratory Study of LLM Annotation

Tejas Goyal, Dhriti Krishnan, Anuj Gupta, Jaromir Savelka

Sentiment Analysis of Yelp Review Dataset: A Comparative Study of Machine Learning Methods

Krishna Thakar, Mohamed Abu Sheha, Emmanuel Thompson

FedPAGR: Federated Prototype Alignment via Geometric Refinement for Heterogeneous Architectures

Kris Prasad, Md Abdullah Al Hafiz Khan

Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-Thought

Ryo Mitsuhashi, Gaku Morio, Ayana Niwa, Masahiro Kaneko, Kentaro Inui

BanglaSTEM: A Parallel Corpus and Term-Weighted Evaluation for Technical Bangla-English Translation

Kazi Reyazul Hasan, A. B. M. Alim Al Islam, Muhammad Abdullah Adnan

Confidence as a Tie-Breaker: Reassessing Multilingual Hedging Bias in LLM-as-a-Judge Evaluation

Rajashik Datta, Sanjan Baitalik

Garden Path Recovery in Causal and Masked Language Models

Sanjan Baitalik, Rajashik Datta

Bring Linguistics Back to Cryptanalysis: Using Attestation to Break the Advanced Encryption Standard

Madeline Boese

Debiasing Logical Fallacy Detection for Real-World Robustness via Counterfactually Augmented Data

Navyansh Singh

Tracking the Evolution of Foresight Signals in News Data: The Case of the European Electric Vehicle Market

Karine Navasartian

Constructing a Japanese Rap Lyric Generation Model with GRPO

Hayato Ogawa, Daisuke Kawahara

Presentation Slide Translation and Layout Error Correction by LLMs

Futo Kajita, Nobuyori Nishimura, Takehito Utsuro, Naoki Muto, Chee Siang Leow

LLM-based Literal Example Generation for Japanese Multiword Expressions

Mio Ohashi, Hajime Kiyama, Zhidong Ling, Mamoru Komachi

The Shape of Vulnerability: How Adversarial Perturbations Reshape the Topology of Language Model Latent Spaces

Angelina Tsai, Shreya Subramanian, Catherine Liu, Kimberly Lopez, Leif Zinn-Brooks

Interpretability of LLM Classifiers via the Rational Inattention Theory with Application to Hate Speech Detection

Yuan Zhao, Ali Abdi

BanglaSocialBench: A Benchmark for Evaluating Sociopragmatic and Cultural Alignment of LLMs in Bangladeshi Social Interaction

Tanvir Ahmed Sijan, S. M. Golam Rifat, Pankaj Partha, Md. Tanjeed Islam, Md Musfique Anwar

NEAT-IR: Neural Explainable Analysis Tool for Information Retrieval

Lev Sukherman, Artem Frenk, Nina Klimenkova, Connor Jason

Sycophantic Anchors: Localizing and Quantifying User Agreement in Reasoning Models

Jacek Duszenko, Przemyslaw Kazienko, Jan Kocon

Phase Transitions in Affective Meaning Divergence: The Hidden Drift Before the Break

Napassorn Litchiowong

TokLens: A Multilingual Lens on Tokenizer Quality for LLMs

Guan-Ming Chiu

Thesis Proposal: On the Granularity-Robustness Trade-off in Text-Derived Knowledge Graphs

Surawat Pralomram

Probing Functional Correctness in Diffusion Language Models

Guan-Ming Chiu, Jeng-Yue Liu

Think Less, Code Better: Probing When Chain-of-Thought Hurts and How to Route Around It

Rajarshi Ghoshal, Debadri Basak, Salma Emad Mahmoud Abdelhalim, Pratibha Kaur Arora

Semantic Contrastive Adaptation for Multimodal Figurative Language Understanding

Ayaan Siddiqui

Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning

Brady Steele

Peek2: Regex-free Byte-level Byte-Pair Encoding Pretokenizer for LLM Inference on Edge Devices

Liu Zai, Iraklis A. Klampanos

Thesis Proposal: LLMs post-training for multilingual medical tasks. Instruction-Tuning, Continual-Pretraining or Reasoning?

Pietro Ferrazzi, Alberto Lavelli, Bernardo Magnini

Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimization

Shiyan Liu, Qifeng Xia, Qiyun Xia, Yisheng Liu, Xinyu Yu

Detecting Hallucinations in Large Language Models via Internal Attention Divergence Signals

Gijs van Dijk

Why Large Language Models can Secretly Outperform Embedding Similarity in Information Retrieval

Matei Benescu, Ivo Pascal De Jong

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers

Rabin Adhikari

Language Directions in Multilingual LLMs: A Layer-wise Diagnostic Study of Token Alignment and Pretraining Imprint

JaeSeong Kim, Suan Lee

Claim Verification in the Age of Large Language Models: A Survey

Alphaeus Dmonte, Roland R Oruche, Marcos Zampieri, Prasad Calyam, Isabelle Augenstein

Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time Scaling

Florian Valentin Wunderlich, Lars Benedikt Kaesberg, Jan Philip Wahle, Terry Ruas, Bela Gipp

MOOSE-Copilot: A Web-Based Interactive Assistant for Unified Exploratory and Fine-Grained Scientific Hypothesis Discovery

Hongran An, Zonglin Yang

GAMED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation

Shiven Agarwal, Yash Shah, Ashish Raj Shekhar, Priyanuj Bordoloi, Vivek Gupta

TartanMaroon: Multi-Agent Academic Advising with Iterative Negotiation and Transparent Collaboration

Peidi Dong, Houda Bouamor, Yunze Xiao, Devi G Kurup

OpenGlass: A Sensing-Computing Split Architecture for Local MLLM-Driven Real-Time Visual Assistance

Mengzhang Li, Yuan Yao

AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse

Zhang Zhang, Shuqi Lu, Hongjin Qian, Di He, Zheng Liu

Praat++: Multimedia Annotation System for Speech and Vocalization

Weiran Zhang, Kenny Q. Zhu

Demonstrating ViviDoc: Generating Interactive Documents through Human-Agent Collaboration

Yinghao Tang, Yupeng Xie, Yingchaojie Feng, Tingfeng Lan, Wei Chen

Spectra: A Mechanistic Interpretability Library for Vision-Language Models

Clement Neo, Yongsen Zheng, Kwok-Yan Lam, Luke Ong

SlideGuard: AI-Driven Evaluation of Graduate Student Presentation Materials

Nikolay Alekseevich Butakov, Maria Khodorchenko, Mazein Nikita, Daniil Gareev, Yuri Falevskiy

DIAGRAMS : A Review Framework for Reasoning-Level Attribution in Diagram QA

Anirudh Iyengar Kaniyar Narayana Iyengar, Tampu Ravi Kumar, Manan Suri, Raviteja Bommireddy, Dinesh Manocha

FD-NL2SQL: Feedback-Driven Clinical NL2SQL that Improves with Use

Suparno Roy Chowdhury, Tejas Anvekar, Manan Roy Choudhury, Muhammad Ali Khan, Kaneez Zahra Rubab Khakwani

Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents

Asaf Yehudai, Lilach Eden, Michal Shmueli-Scheuer

Ryze: Evidence-Enriched Data Synthesis from Biomedical Papers

Yeqi Huang, Yue Chen, Yanwei Ye, Guanhao Su, Luo Mai

Expert Calibration Lens for Pruning Mixture of Experts

Luis Frentzen Salim, Chia-Chun Wu, Tran Van Nhiem, Lun-Wei Ku, Yung-Hui Li

FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure

Fan Zhang, Mingzi Song, Rania Elbadry, yankai Chen, Shaobo Wang

ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning

Vladislav Smirnov, Quang-Chieu Nguyen, Sergey Senichev, Minh Ngoc Ta, Ekaterina Fadeeva

A Dynamic Self-Evolving Extraction System

Moin Aminnaseri, Hannah Kim, Estevam Hruschka

RECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions

Keyu He, Qianou Ma, Valerie Chen, Wayne Chi, Tongshuang Wu

AnnoHID: LLM-Assisted Annotation Framework for Low-Resource Medical Texts

Annisa Maulida Ningtyas, Guntur Budi Herwanto, Yunita Sari, Rifki Afina Putri, Filip Kovačević

Formally Specifying the Intended Behavior of the Program: LLM-Driven Neuro-Symbolic Program Specification Synthesis

Cheng Wen, Hu Junjie, YiKun Hu, Jie Su, Bin Yu

TONY: an open-source TOolkit for Nlp in psYchology

Federico Ravenda, Sofia Irene Ravenda, Volodymyr Karpenko, Daniele Montagnani, Andrea Raballo

TruthSplit: Revealing Conditional Validity in Arguments Through Multi-Worldview Comparative Reasoning

Benjamin Stieger, Maximilian Terberger, Thomas Huber, Christina Niklaus

AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists

Junshu Pan, Panzhong Lu, Yixuan Weng, QiYao Sun, Fang Guo

The olmOCR Project: Building Fully Open OCR using VLMs

Jake Poznanski, Kyle Lo, Luca Soldaini

ParseJargon: Personalized Real-time Jargon Support in Online Meetings

Yifan Song, Wing Yee Au, Hon Yung Wong, Brian Bailey, Tal August

CPTCoder: A Reliable LLM System for Medical Procedure Code Prediction

Benlu Wang, Ziyao Shangguan, Kyle Tegtmeyer, Zhenyu Zhang, Sophie Chheang

EduCoder: An Open-Source Annotation System for Education Transcript Data

Saad Ashraf, Jim Malamut, Vishal Kumar, Guanzhong Pan, HyunJi Nam

OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction

Junxing Hu, Tianlong Li, Lei Yu, Ai Han

Paper2Web: Let’s Make Your Paper Alive!

Yuhang Chen, Tianpeng Lv, Yao Wan, Philip S. Yu, Dongping Chen

UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models

Qundong Shi, Jie Zhou, Biyuan Lin, Junbo Cui, Guoyang Zeng