ACL 2025

4,141 papers

OrQA – Open Data Retrieval for Question Answering dataset generation

Giovanni Malaguti, Angelo Mozzillo, Giovanni Simonini

TableKV: KV Cache Compression for In-Context Table Processing

Giulio Corallo, Elia Faure-Rolland, Miriam Lamari, Paolo Papotti

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting

Md Kowsher, Md. Shohanur Islam Sobuj, Nusrat Jahan Prottasha, E. Alejandro Alanis, Ozlem Garibay

Perspective: Leveraging Domain Knowledge for Tabular Machine Learning in the Medical Domain

Arijana Bohr, Thomas Altstidl, Bjoern Eskofier, Emmanuelle Salin

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data

Ekaterina Borisova, Fabio Barth, Nils Feldhus, Raia Abu Ahmad, Malte Ostendorff

Ask Me Like I’m Human: LLM-based Evaluation with For-Human Instructions Correlates Better with Human Evaluations than Human Judges

Rudali Huidrom, Anya Belz

RITT: A Retrieval-Assisted Framework with Image and Text Table Representations for Table Question Answering

Wei Zhou, Mohsen Mesgar, Heike Adel, Annemarie Friedrich

Something’s Fishy in the Data Lake: A Critical Re-evaluation of Table Union Search Benchmarks

Allaa Boutaleb, Bernd Amann, Hubert Naacke, Rafael Angarita

iTBLS: A Dataset of Interactive Conversations Over Tabular Information

Anirudh Sundar, Christopher Richardson, Adar Avsian, Larry Heck

SQLong: Enhanced NL2SQL for Longer Contexts with LLMs

Dai Quoc Nguyen, Cong Duy Vu Hoang, Duy Quang Vu, Gioacchino Tangari, Thanh Vu

R3: “This is My SQL, Are You With Me?” A Consensus-Based Multi-Agent System for Text-to-SQL Tasks

Hanchen Xia, Feng Jiang, Naihao Deng, Cunxiang Wang, Guojiang Zhao

Tables as Thought: Exploring Structured Thoughts in LLM Reasoning

Zhenjie Sun, Naihao Deng, Haofei Yu, Jiaxuan You

Generating Synthetic Relational Tabular Data via Structural Causal Models

Frederik Hoppe, Astrid Franz, Lars Kleinemeier, Udo Göbel

Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data

TaeYoon Kwack, Jisoo Kim, Ki Yong Jung, DongGeon Lee, Heesun Park

Are Translated Texts Useful for Gradient Word Order Extraction?

Amanda Kann

Token-level semantic typology without a massively parallel corpus

Barend Beekhuizen

Domain Meets Typology: Predicting Verb-Final Order from Universal Dependencies for Financial and Blockchain NLP

Zichao Li, Zong Ke

High-Dimensional Interlingual Representations of Large Language Models

Bryan Wilie, Samuel Cahyawijaya, Junxian He, Pascale Fung

Construction-Based Reduction of Translationese for Low-Resource Languages: A Pilot Study on Bavarian

Peiqin Lin, Marion Thaler, Daniela Goschala, Amir Hossein Kargaran, Yihong Liu

A discovery procedure for synlexification patterns in the world’s languages

Hannah S. Rognan, Barend Beekhuizen

Tone in Perspective: A Computational Typological Analysis of Tone Function in ASR

Siyu Liang, Gina-Anne Levow

XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs

Linyang He, Ercong Nie, Sukru Samet Dindar, Arsalan Firoozi, Adrian Florea

SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods

Roksana Goworek, Harpal Singh Karlcut, Hamza Shezad, Nijaguna Darshana, Abhishek Mane

Beyond cognacy

Gerhard Jäger

Beyond the Data: The Impact of Annotation Inconsistencies in UD Treebanks on Typological Universals and Complexity Assessment

Antoni Brosa Rodríguez, M. Dolores Jiménez López

Annotating and Inferring Compositional Structures in Numeral Systems Across Languages

Arne Rubehn, Christoph Rzymski, Luca Ciucci, Katja Bocklage, Alžběta Kučerová

Unstable Grounds for Beautiful Trees? Testing the Robustness of Concept Translations in the Compilation of Multilingual Wordlists

David Snee, Luca Ciucci, Arne Rubehn, Kellen Parker Van Dam, Johann-Mattis List

Analyzing the Linguistic Priors of Language Models with Synthetic Languages

Alessio Tosolini, Terra Blevins

InstructionCP: A Simple yet Effective Approach for Transferring Large Language Models to Target Languages

Kuang-Ming Chen, Jenq-Neng Hwang, Hung-yi Lee

Extended Abstract: Probing-Guided Parameter-Efficient Fine-Tuning for Balancing Linguistic Adaptation and Safety in LLM-based Social Influence Systems

Manyana Tiwari

Investment-Driven Social Influence: A Statistical Physics Approach to Advertising Response

Javier Marín

Text Overlap: An LLM with Human-like Conversational Behaviors

JiWoo Kim, Minsuk Chang, JinYeong Bak

Steering Conversational Large Language Models for Long Emotional Support Conversations

Navid Madani, Rohini Srihari

CLAIM: An Intent-Driven Multi-Agent Framework for Analyzing Manipulation in Courtroom Dialogues

Disha Sheshanarayana, Tanishka Magar, Ayushi Mittal, Neelam Chaplot

Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models

Maria Teleki, Xiangjue Dong, Haoran Liu, James Caverlee

Too Polite to be Human: Evaluating LLM Empathy in Korean Conversations via a DCT-Based Framework

Seoyoon Park, Jaehee Kim, Hansaem Kim

PROTECT: Policy-Related Organizational Value Taxonomy for Ethical Compliance and Trust

Avni Mittal, Sree Hari Nagaralu, Sandipan Dandapat

Should I go vegan: Evaluating the Persuasiveness of LLMs in Persona-Grounded Dialogues

Shruthi Chockkalingam, Seyed Hossein Alavi, Raymond T. Ng, Vered Shwartz

DecepBench: Benchmarking Multimodal Deception Detection

Ethan Braverman, Vittesh Maganti, Nysa Lalye, Akhil Ganti, Michael Lu

Prompt Refinement or Fine-tuning? Best Practices for using LLMs in Computational Social Science Tasks

Anders Giovanni Møller, Luca Maria Aiello

LLM Roleplay: Simulating Human-Chatbot Interaction

Hovhannes Tamoyan, Hendrik Schuff, Iryna Gurevych

From RAG to Reality: Coarse-Grained Hallucination Detection via NLI Fine-Tuning

Daria Galimzianova, Aleksandr Boriskin, Grigory Arshinov

Natural Language Inference Fine-tuning for Scientific Hallucination Detection

Tim Schopf, Juraj Vladika, Michael Färber, Florian Matthes

SciBERT Meets Contrastive Learning: A Solution for Scientific Hallucination Detection

Crivoi Carla, Ana Sabina Uban

A.M.P at SciHal2025: Automated Hallucination Detection in Scientific Content via LLMs and Prompt Engineering

Le Nguyen Anh Khoa, Thìn Đặng Văn

Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification

Yupeng Cao, Chun-Nam Yu, K.p. Subbalakshmi

Overview of the SciHal25 Shared Task on Hallucination Detection for Scientific Content

Dan Li, Bogdan Palfi, Colin Zhang, Jaiganesh Subramanian, Adrian Raudaschl

ClimateCheck2025: Multi-Stage Retrieval Meets LLMs for Automated Scientfic Fact-Checking

Anna Kiepura, Jessica Lam

AlexUNLP-FMT at ClimateCheck Shared Task: Hybrid Retrieval with Adaptive Similarity Graph-based Reranking for Climate-related Social Media Claims Fact Checking

Mahmoud Fathallah, Nagwa El-Makky, Marwan Torki

Comparing LLMs and BERT-based Classifiers for Resource-Sensitive Claim Verification in Social Media

Max Upravitelev, Nicolau Duran-Silva, Christian Woerle, Giuseppe Guarino, Salar Mohtaj

Winning ClimateCheck: A Multi-Stage System with BM25, BGE-Reranker Ensembles, and LLM-based Analysis for Scientific Abstract Retrieval

Junjun Wang, Kunlong Chen, Zhaoqun Chen, Peng He, Wenlu Zheng

The ClimateCheck Shared Task: Scientific Fact-Checking of Social Media Claims about Climate Change

Raia Abu Ahmad, Aida Usmanova, Georg Rehm

Enhancing Scientific Visual Question Answering through Multimodal Reasoning and Ensemble Modeling

Prahitha Movva, Naga Harshita Marupaka

Instruction-tuned QwenChart for Chart Question Answering

Viviana Ventura, Lukas Amadeus Kleybolte, Alessandra Zarcone

Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models

Christian Jaumann, Annemarie Friedrich, Rainer Lienhart

ExpertNeurons at SciVQA-2025: Retrieval Augmented VQA with Vision Language Model (RAVQA-VLM)

Nagaraj N Bhat, Joydeb Mondal, Srijon Sarkar

Visual Question Answering on Scientific Charts Using Fine-Tuned Vision-Language Models

Florian Schleid, Jan Strich, Chris Biemann

SciVQA 2025: Overview of the First Scientific Visual Question Answering Shared Task

Ekaterina Borisova, Nikolas Rauscher, Georg Rehm

Extracting Software Mentions and Relations using Transformers and LLM-Generated Synthetic Data at SOMD 2025

Pranshu Rastogi, Rajneesh Tiwari

Inductive Learning on Heterogeneous Graphs Enhanced by LLMs for Software Mention Detection

Gabriel Silva, Mário Rodriges, António Teixeira, Marlene Amorim

SOMD 2025: Fine-tuning ModernBERT for In- and Out-of-Distribution NER and Relation Extraction of Software Mentions in Scientific Texts

Vaghawan Ojha, Projan Shakya, Kristina Ghimire, Kashish Bataju, Ashwini Mandal

From In-Distribution to Out-of-Distribution: Joint Loss for Improving Generalization in Software Mention and Relation Extraction

Stasa Mandic, Georg Niess, Roman Kern

SOMD2025: A Challenging Shared Tasks for Software Related Information Extraction

Sharmila Upadhyaya, Wolfgang Otto, Frank Krüger, Stefan Dietze

Document Attribution: Examining Citation Relationships using Large Language Models

Vipula Rawte, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka

Predicting The Scholarly Impact of Research Papers Using Retrieval-Augmented LLMs

Tamjid Azad, Ibrahim Al Azher, Sagnik Ray Choudhury, Hamed Alhoori

Data Gatherer: LLM-Powered Dataset Reference Extraction from Scientific Literature

Pietro Marini, Aécio Santos, Nicole Contaxis, Juliana Freire

Literature-Grounded Novelty Assessment of Scientific Ideas

Simra Shahid, Marissa Radensky, Raymond Fok, Pao Siangliulue, Daniel S Weld

Literature discovery with natural language queries

Anna Kiepura, Jessica Lam, Nianlong Gu, Richard Hahnloser

Collage: Decomposable Rapid Prototyping for Co-Designed Information Extraction on Scientific PDFs

Sireesh Gururaja, Yueheng Zhang, Guannan Tang, Tianhao Zhang, Kevin Murphy

Analyzing the Evolution of Scientific Misconduct Based on the Language of Retracted Papers

Christof Bless, Andreas Waldis, Angelina Parfenova, Maria A. Rodriguez, Andreas Marfurt

The ClimateCheck Dataset: Mapping Social Media Claims About Climate Change to Corresponding Scholarly Articles

Raia Abu Ahmad, Aida Usmanova, Georg Rehm

GraphTranslate: Predicting Clinical Trial Translation using Graph Neural Networks on Biomedical Literature

Emily Muller, Justin Boylan-Toomey, Jack Ekinsmyth, Arne Robben, María De La Paz Cardona

MathD2: Towards Disambiguation of Mathematical Terms

Shufan Jiang, Mary Ann Tan, Harald Sack

TeXpert: A Multi-Level Benchmark for Evaluating LaTeX Code Generation by LLMs

Sahil Kale, Vijaykant Nadadur

Overview of the Fifth Workshop on Scholarly Document Processing

Tirthankar Ghosal, Philipp Mayr, Anita De Waard, Aakanksha Naik, Amanpreet Singh

Preventing Rogue Agents Improves Multi-Agent Collaboration

Ohav Barbi, Ori Yoran, Mor Geva

Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning

Saif Punjwani, Larry Heck

The Power of Simplicity in LLM-Based Event Forecasting

Meiru Zhang, Auss Abbood, Zaiqiao Meng, Nigel Collier

FrontierScience Bench: Evaluating AI Research Capabilities in LLMs

Matthew Li, Santiago Torres-Garcia, Shayan Halder, Phani Kuppa, Sean O’Brien

From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents

Tobias Lindenbauer, Georg Groh, Hinrich Schuetze

RL + Transformer = A General-Purpose Problem Solver

Micah Rentschler, Jesse Roberts

DIAMOND: An LLM-Driven Agent for Context-Aware Baseball Highlight Summarization

Jeonghun Kang, Soonmok Kwon, Joonseok Lee, Byung-Hak Kim

StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking

Nikolai Rozanov, Marek Rei

VisTRA: Visual Tool-use Reasoning Analyzer for Small Object Visual Question Answering

Hiroaki Sugiyama, Ko Koga, Toshifumi Nishijima

Measuring temporal effects of agent knowledge by date-controlled tool use

R. Patrick Xian, Qiming Cui, Stefan Bauer, Reza Abbasi-Asl

Decentralized Low-Rank Fine-Tuning of Large Language Models

Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani

Bridging the Digital Divide: Empowering Elderly Smartphone Users with Intelligent and Human-Centered Design in Agemate

Liangliang Chen, Yongzhen Mu

Are You Sure You’re Positive? Consolidating Chain-of-Thought Agents with Uncertainty Quantification for Aspect-Category Sentiment Analysis

Filippos Ventirozos, Peter A. Appleby, Matthew Shardlow

Oversight Structures for Agentic AI in Public-Sector Organizations

Chris Schmitz, Jonathan Rystrøm, Jan Batzner

TCQA2: A Tiered Conversational Q&A Agent in Gaming

Ze Chen, Chengcheng Wei, Jiewen Zheng, Jiarong He

GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git

Tobias Lindenbauer, Egor Bogomolov, Yaroslav Zharov

A Study on Leveraging Search and Self-Feedback for Agent Reasoning

Karthikeyan K, Michelle Yuan, Elman Mansimov, Katerina Margatina, Anurag Pratik

A Conversational Agent Framework for Multimodal Knowledge Retrieval: A Case Study in FHWA InfoHighway Web Portal Queries

Sai Surya Gadiraju, Duoduo Liao, Zijie He

Snap Out of It: A Dual-Process Approach to Mitigating Overthinking in Language Model Reasoning

Ashish Pandian, Nelson Lojo, Wei Xun Lai, Jackson Lukas

Conditional Multi-Stage Failure Recovery for Embodied Agents

Youmna Farag, Svetlana Stoyanchev, Mohan Li, Simon Keizer, Rama Doddipatla

ToolReflection: Improving Large Language Models for Real-World API Calls with Self-Generated Data

Gregory Polyakov, Ilseyar Alimova, Dmitry Abulkhanov, Ivan Sedykh, Andrey Bout

Safe in Isolation, Dangerous Together: Agent-Driven Multi-Turn Decomposition Jailbreaks on LLMs

Devansh Srivastav, Xiao Zhang

Leveraging LLM-based sentiment analysis for portfolio optimization with proximal policy optimization

Kemal Kirtac, Guido Germano

PAARS: Persona Aligned Agentic Retail Shoppers

Saab Mansour, Leonardo Perelli, Lorenzo Mainetti, George Davidson, Stefano D’Amato

Positive Experience Reflection for Agents in Interactive Text Environments

Philip Lippmann, Matthijs T. J. Spaan, jie Yang