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IJCNLP 2025

426 papers

Multi-Modal Data Exploration via Language Agents

Farhad Nooralahzadeh, Yi Zhang, Jonathan Fürst, Kurt Stockinger

PhysicsEval: Inference-Time Techniques to Improve the Reasoning Proficiency of Large Language Models on Physics Problems

Oshayer Siddique, J. M Areeb Uzair Alam, Md Jobayer Rahman Rafy, Syed Rifat Raiyan, Hasan Mahmud

DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning

Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni

Enhancing Scene Transition Awareness in Video Generation via Post-Training

Hanwen Shen, Jiajie Lu, Yupeng Cao, Xiaonan Yang

LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective

Ruosi Shao, Md Shamim Seraj, Kangyi Zhao, Yingtao Luo, Lincan Li

Moral Self-correction is Not An Innate Capability in Language Models

Guangliang Liu, Zimo Qi, Xitong Zhang, Lu Cheng, Kristen Johnson

Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models

Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber

The Feasibility of Topic-Based Watermarking on Academic Peer Reviews

Alexander Nemecek, Yuzhou Jiang, Erman Ayday

Distillation versus Contrastive Learning: How to Train Your Rerankers

Zhichao Xu, Zhiqi Huang, Shengyao Zhuang, Vivek Srikumar

Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries

Roberto Ceraolo, Dmitrii Kharlapenko, Ahmad Khan, Amélie Reymond, Rada Mihalcea

LLM-based Business Process Models Generation from Textual Descriptions

Xiaoxuan Li, Lin Ni, Xin Wang, Tang Yitong, Ruoxuan Li

Smruti: Grammatical Error Correction for Gujarati using LLMs with Non-Parametric Memory

Vrund Dobariya, Jatayu Baxi, Bhavika Gambhava, Brijesh Bhatt

SiLQ: Simple Large Language Model Quantization-Aware Training

Steven K. Esser, Jeffrey L McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra Modha

Enhancing LLM-Based Molecular Captioning with Molecular Fingerprints

Keisuke Mizutani, Koriki Ryonosuke, Kento Tokuyama

HalluCounter: Reference-free LLM Hallucination Detection in the Wild!

Ashok Urlana, Gopichand Kanumolu, Charaka Vinayak Kumar, Bala Mallikarjunarao Garlapati, Rahul Mishra

Breaking Language Barriers in Visual Language Models via Multilingual Textual Regularization

Iñigo Pikabea, Iñaki Lacunza, Oriol Pareras Velasco, Carlos Escolano, Aitor Gonzalez-Agirre

Multilingual Political Views of Large Language Models: Identification and Steering

Daniil Gurgurov, Katharina Trinley, Ivan Vykopal, Josef van Genabith, Simon Ostermann

Whispering in Ol Chiki: Cross-Lingual Transfer Learning for Santali Speech Recognition

Atanu Mandal, Madhusudan Ghosh, Pratick Maiti, Sudip Kumar Naskar

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

Tiankai Yang, Junjun Liu, Michael Siu, Jiahang Wang, Zhuangzhuang Qian

Estimating Causal Effects of Text Interventions Leveraging LLMs

Siyi Guo, Myrl G Marmarelis, Fred Morstatter, Kristina Lerman

Atomic Calibration of LLMs in Long-Form Generations

Caiqi Zhang, Ruihan Yang, Zhisong Zhang, Xinting Huang, Sen Yang

Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection

Abhinav Lalwani, Tasha Kim, Lovish Chopra, Christopher Hahn, Zhijing Jin

LLMs as Architects and Critics for Multi-Source Opinion Summarization

Anuj Attri, Arnav Attri, Suman Banerjee, Amey Patil, Muthusamy Chelliah

Generalizing to Unseen Disaster Events: A Causal View

Philipp Seeberger, Steffen Freisinger, Tobias Bocklet, Korbinian Riedhammer

SPORTSQL: An Interactive System for Real-Time Sports Reasoning and Visualization

Sebastian Martinez, Naman Ahuja, Fenil Bardoliya, Suparno Roy Chowdhury, Chris Bryan

ChartEval: LLM-Driven Chart Generation Evaluation Using Scene Graph Parsing

Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt, Vivek Gupta

SimAgents: Bridging Literature and the Universe Via A Multi-Agent Large Language Model System

Xiaowen Zhang, Zhenyu Bi, Patrick LaChance, Xuan Wang, Tiziana Di Matteo

Standardizing the Measurement of Text Diversity: A Tool and Comparative Analysis

Chantal Shaib, Venkata S Govindarajan, Joe Barrow, Jiuding Sun, Alexa Siu

Supporting Plain Language Summarization of Psychological Meta-Analyses with Large Language Models

Yarik Menchaca Resendiz, Martin Kerwer, Anita Chasiotis, Marlene Bodemer, Kai Sassenberg

Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script

Xi Cao, Yuan Sun, Jiajun Li, Quzong Gesang, Nuo Qun

ImageTra: Real-Time Translation for Texts in Image and Video

Hour Kaing, Jiannan Mao, Haiyue Song, Chenchen Ding, Hideki Tanaka

Continual Learning in Large Language Models: Foundations to Frontiers

P. K. Srijith, Shrey Satapara, Sarath Chandar

Source Attribution for Large Language Models

Vipula Rawte, Koustava Goswami, Puneet Mathur, Nedim Lipka

VariantBench: A Framework for Evaluating LLMs on Justifications for Genetic Variant Interpretation

Humair Basharat, Simon Plotkin, Charlotte Le, Kevin Zhu, Michael Pink

Mitigating Forgetting in Continual Learning with Selective Gradient Projection

Anika Singh, David Martinez, Aayush Dhaulakhandi, Varun Chopade, Likhith Malipati

Visualizing and Benchmarking LLM Factual Hallucination Tendencies via Internal State Analysis and Clustering

Nathan Mao, Varun Kaushik, Shreya Shivkumar, Parham Sharafoleslami, Kevin Zhu

To What Extent Can In-Context Learning Solve Unseen Tasks?

Ryoma Shinto, Masashi Takeshita, Rafal Rzepka, Toshihiko Itoh

Rethinking Tokenization for Rich Morphology: The Dominance of Unigram over BPE and Morphological Alignment

Saketh Reddy Vemula, Sandipan Dandapat, Dipti Sharma, Parameswari Krishnamurthy

BookAsSumQA: An Evaluation Framework for Aspect-Based Book Summarization via Question Answering

Ryuhei Miyazato, Ting-Ruen Wei, Xuyang Wu, Hsin-Tai Wu, Kei Harada

Turn-by-Turn Behavior Monitoring in LM-Guided Psychotherapy

Anish Chedalla, Samina Ali, Jiuming (Jimmy) Chen, Logan Yu, Eric Xia

Do We Need Large VLMs for Spotting Soccer Actions?

Ritabrata Chakraborty, Rajatsubhra Chakraborty, Avijit Dasgupta, Sandeep Chaurasia

On Multilingual Encoder Language Model Compression for Low-Resource Languages

Daniil Gurgurov, Michal Gregor, Josef van Genabith, Simon Ostermann

Stacked LoRA: Isolated Low-Rank Adaptation for Lifelong Knowledge Management

Heramb Vivek Patil, Vaishnavee Sanam, Minakshi Pradeep Atre

Learning Dynamics of Meta-Learning in Small Model Pretraining

David Demitri Africa, Yuval Weiss, Paula Buttery, Richard Diehl Martinez

Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding

Koki Natsumi, Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe

Can Language Models Handle a Non-Gregorian Calendar? The Case of the Japanese wareki

Mutsumi Sasaki, Go Kamoda, Ryosuke Takahashi, Kosuke Sato, Kentaro Inui

Meronymic Ontology Extraction via Large Language Models

Dekai Zhang, Simone Conia, Antonio Rago

ReGraph: Learning to Reformulate Graph Encodings with Large Language Models

Amir Hadifar, Christopher Ochs, Arjan Van Ewijk

Broken Words, Broken Performance: Effect of Tokenization on Performance of LLMs

Sachin Pawar, Manoj Apte, Kshitij Jadhav, Girish Keshav Palshikar, Nitin Ramrakhiyani