Cette année, les chercheuses et chercheurs de Mila présenteront 18 articles scientifiques à la Conference on Language Modeling (COLM 2025) au Palais des Congrès de Montréal. Voici une liste des articles affiliés à Mila qui seront présentés à la conférence principale et lors des ateliers.
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Conférence principale
7 septembre
Oral 1 - 10:00 AM - 11:00 AM salle 517BC
- Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling: Ben Lipkin, Benjamin LeBrun, Jacob Hoover Vigly, João Loula, David R. MacIver, Lei Du, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Timothy J. O'Donnell, Alexander K. Lew, Tim Vieira
Poster Session 1 - 11:00 AM -1:00 PM salle 710
- BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation: Christos Tsirigotis, Vaibhav Adlakha, Joao Monteiro, Aaron C. Courville, Perouz Taslakian
Poster Session 2 - 4:30 PM - 6:30 PM salle 710
- Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts: Samin Yeasar Arnob, Zhan Su, Minseon Kim, Oleksiy Ostapenko, Riyasat Ohib, Esra'a Saleh, Doina Precup, Lucas Caccia, Alessandro Sordoni
- Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding: Fabian David Schmidt, Ivan Vulić, Goran Glavaš, David Ifeoluwa Adelani
- Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?: Anthony GX-Chen, Dongyan Lin, Mandana Samiei, Doina Precup, Blake Aaron Richards, Rob Fergus, Kenneth Marino
8 septembre
Poster Session 3 - 11:00AM-1:00PM salle 710
- Training Plug-and-Play Knowledge Modules with Deep Context Distillation: Lucas Caccia, Alan Ansell, Edoardo Ponti, Ivan Vulić, Alessandro Sordoni
- DoomArena: A framework for Testing AI Agents Against Evolving Security Threats: Léo Boisvert, Abhay Puri, Gabriel Huang, Mihir Bansal, Chandra Kiran Reddy Evuru, Avinandan Bose, Maryam Fazel, Quentin Cappart, Alexandre Lacoste, Jason Stanley, Alexandre Drouin, Krishnamurthy Dj Dvijotham
- AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories: Xing Han Lù, Amirhossein Kazemnejad, Nicholas Meade, Arkil Patel, Dongchan Shin, Alejandra Zambrano, Karolina Stańczak, Peter Shaw, Christopher Pal, Siva Reddy
Poster Session 4 - 4:30 PM - 6:30 PM
- Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers: Kusha Sareen, Morgane M Moss, Alessandro Sordoni, Arian Hosseini, Rishabh Agarwal
- Steering Large Language Model Activations in Sparse Spaces: Reza Bayat, Ali Rahimi-Kalahroudi, Mohammad Pezeshki, Sarath Chandar, Pascal Vincent
- 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
- BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning: Ahmed Masry, Abhay Puri, Masoud Hashemi, Juan A. Rodriguez, Megh Thakkar, Khyati Mahajan, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Alexandre Piché, Dzmitry Bahdanau, Christopher Pal, David Vazquez, Enamul Hoque, Perouz Taslakian, Sai Rajeswar, Spandana Gella
- Adaptive Computation Pruning for the Forgetting Transformer: Zhixuan Lin, Johan Samir Obando Ceron, Xu Owen He, Aaron C. Courville
- Not All Data Are Unlearned Equally: Aravind Krishnan, Siva Reddy, Marius Mosbach
- Do Biased Models Have Biased Thoughts?: Swati Rajwal, Shivank Garg, Reem Abdel-Salam, Abdelrahman Zayed
- Resona: Improving Context Copying in Linear Recurrence Models with Retrieval: Xinyu Wang, Linrui Ma, Jerry Huang, Peng Lu, Prasanna Parthasarathi, Xiao-Wen Chang, Boxing Chen, Yufei Cui
9 septembre
Poster Session 5 - 11:00 AM - 1:00 PM salle 710
- Partial Perspectives: How LLMs Handle Logically Inconsistent Knowledge in Reasoning Tasks: Zichao Li, Ines Arous, Jackie CK Cheung
- Boosting LLM Reasoning via Spontaneous Self-Correction: Xutong Zhao, Tengyu Xu, Xuewei Wang, Zhengxing Chen, Di Jin, Liang Tan, Yen-Ting Lin, Zishun Yu, Zhuokai Zhao, Si-Yuan Wang, Yun He, Sinong Wang, Han Fang, Sarath Chandar, Chen Zhu
Workshops
Les chercheuses et chercheurs de Mila partageront également leur vaste expertise au sein de divers ateliers
- Evaluating and Improving LitLLMs with Deep Research: Gaurav Sahu, Shubham Agarwal, Abhay Puri, Issam Hadj Laradji, Krishnamurthy Dj Dvijotham, Jason Stanley, Laurent Charlin, Christopher Pal
- TRUTH: Teaching LLMs to Rerank for Truth in Misinformation Detection: Hao Yu, Shenyang Huang, Zachary Yang, Maximilian Puelma Touzel, Kellin Pelrine, Jean-François Godbout, Reihaneh Rabbany
- Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs: Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng, Irina Rish, Nicolas Chapados, Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin
- Uncovering Hidden Factions through Text-Network Representations: Unsupervised Public Opinion Mapping of Iran on Twitter in the 2022 Unrest: Sahar Omidi Shayegan, Jean-François Godbout, Reihaneh Rabbany
- Neither Valid nor Reliable? Investigating the Use of LLMs as Judges: Khaoula Chehbouni, Mohammed Haddou, Jackie Chi Kit Cheung, Golnoosh Farnadi
- Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training: Oleksiy Ostapenko, Charles Guille-Escuret, Luke Kumar, Max Tian, Denis Kocetkov, Gopeshh Subbaraj, Raymond Li, Joel Lamy-Poirier, Sebastien Paquet, Torsten Scholak
- (RSA)²: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding: Cesare Spinoso-Di Piano, David Eric Austin, Pablo Piantanida, Jackie CK Cheung
- DIVERS-Bench: Evaluating Language Identification Across Domain Shifts and Code-Switching: Jessica Ojo, Zina Kamel, David Ifeoluwa Adelani
