COLM 2025 Conference Submissions

AdaptMI: Adaptive Skill-based In-context Math Instructions for Small Language Models
Yinghui He, Abhishek Panigrahi, Yong Lin, Sanjeev Arora
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
Chenrui Fan, Ming Li, Lichao Sun, Tianyi Zhou
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
OpinioRAG: Towards Generating User-Centric Opinion Highlights from Large-scale Online Reviews
Mir Tafseer Nayeem, Davood Rafiei
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Learning to Generate Unit Tests for Automated Debugging
Archiki Prasad, Elias Stengel-Eskin, Justin Chen, Zaid Khan, Mohit Bansal
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
Soumyadeep Pal, Changsheng Wang, James Diffenderfer, Bhavya Kailkhura, Sijia Liu
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution
Falaah Arif Khan, Nivedha Sivakumar, Yinong Oliver Wang, Katherine Metcalf, Cezanne Camacho, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Prompt-Reverse Inconsistency: LLM Self-Inconsistency Beyond Generative Randomness and Prompt Paraphrasing
Jihyun Janice Ahn, Wenpeng Yin
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Positional Biases Shift as Inputs Approach Context Window Limits
Blerta Veseli, Julian Chibane, Mariya Toneva, Alexander Koller
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
ADAPT: Actively Discovering and Adapting to Preferences for any Task
Maithili Patel, Xavier Puig, Ruta Desai, Roozbeh Mottaghi, Sonia Chernova, Joanne Truong, Akshara Rai
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers
Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, Lin Gui, Yulan He
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
True Multimodal In-Context Learning Needs Attention to the Visual Context
Shuo Chen, Jianzhe Liu, Zhen Han, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Post-training for Efficient Communication via Convention Formation
Yilun Hua, Evan Wang, Yoav Artzi
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Streaming DiLoCo with overlapping communication
Arthur Douillard, Yani Donchev, J Keith Rush, Satyen Kale, Zachary Charles, Gabriel Teston, Zachary Garrett, Jiajun Shen, Ross McIlroy, David Lacey, Alexandre Rame, Arthur Szlam, MarcAurelio Ranzato, Paul R Barham
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
MuSeD: A Multimodal Spanish Dataset for Sexism Detection in Social Media Videos
Laura De Grazia, Pol Pastells, Mauro Vázquez Chas, Desmond Elliott, Danae Sanchez Villegas, Mireia Farrús, Mariona Taulé Delor
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
Jianyou Wang, Weili Cao, Kaicheng Wang, Xiaoyue Wang, Ashish Dalvi, Gino Prasad, Qishan Liang, Hsuan-lin Her, Mingwang, Qin Yang, Gene W. Yeo, David E Neal, Maxim Khan, Christopher D. Rosin, Ramamohan Paturi, Leon Bergen
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
Ryo Bertolissi, Jonas Hübotter, Ido Hakimi, Andreas Krause
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
An Illusion of Progress? Assessing the Current State of Web Agents
Tianci Xue, Weijian Qi, Tianneng Shi, Chan Hee Song, Boyu Gou, Dawn Song, Huan Sun, Yu Su
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Boundless Byte Pair Encoding: Breaking the Pre-tokenization Barrier
Craig W Schmidt, Varshini Reddy, Chris Tanner, Yuval Pinter
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Multi-Agent Systems Execute Arbitrary Malicious Code
Harold Triedman, Rishi Dev Jha, Vitaly Shmatikov
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Evaluating LLMs on Chinese Idiom Translation
Cai Yang, Yao Dou, David Heineman, Xiaofeng Wu, Wei Xu
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Rethinking Safety in LLM Fine-tuning: An Optimization Perspective
Minseon Kim, Jin Myung Kwak, Lama Alssum, Bernard Ghanem, Philip Torr, David Krueger, Fazl Barez, Adel Bibi
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
CodeXEmbed: A Generalist Embedding Model Family for Multilingual and Multi-task Code Retrieval
Ye Liu, Rui Meng, Shafiq Joty, silvio savarese, Caiming Xiong, Yingbo Zhou, Semih Yavuz
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering
Patrick Fernandes, Sweta Agrawal, Emmanouil Zaranis, Andre Martins, Graham Neubig
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone
Law of Vision Representation in MLLMs
Shijia Yang, Bohan Zhai, Quanzeng You, Jianbo Yuan, Hongxia Yang, Chenfeng Xu
- Published: 08 Jul 2025, Last Modified: 26 Aug 2025
- COLM 2025
- Readers: Everyone