ICML 2024 Workshop FM-Wild Submissions

Towards Safe Large Language Models for Medicine
Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju
- Published: 03 Jul 2024, Last Modified: 14 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
ContextCite: Attributing Model Generation to Context
Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander Madry
- Published: 03 Jul 2024, Last Modified: 17 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Privacy Auditing of Large Language Models
Ashwinee Panda, Xinyu Tang, Milad Nasr, Christopher A. Choquette-Choo, Prateek Mittal
- Published: 03 Jul 2024, Last Modified: 03 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
When Do Language Models Need to Be Large?
Zhixun Chen, Yali Du, David Henry Mguni
- Published: 03 Jul 2024, Last Modified: 12 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Tomasz Korbak, Henry Sleight, Rajashree Agrawal, John Hughes, Dhruv Bhandarkar Pai, Andrey Gromov, Dan Roberts, Diyi Yang, David L. Donoho, Sanmi Koyejo
- Published: 03 Jul 2024, Last Modified: 13 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Projected Language Models: A Large Model Pre-Segmented Into Smaller Ones
David Grangier, Angelos Katharopoulos, Pierre Ablin, Awni Hannun
- Published: 03 Jul 2024, Last Modified: 16 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Code Agents are State of The Art Software Testers
Niels Mündler, Mark Niklas Mueller, Jingxuan He, Martin Vechev
- Published: 03 Jul 2024, Last Modified: 12 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks
Antoni Kowalczuk, Jan Dubiński, Atiyeh Ashari Ghomi, Yi Sui, George Stein, Jiapeng Wu, Jesse C. Cresswell, Franziska Boenisch, Adam Dziedzic
- Published: 03 Jul 2024, Last Modified: 17 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal
- Published: 03 Jul 2024, Last Modified: 03 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
Hao Bai, Yifei Zhou, Mert Cemri, Jiayi Pan, Alane Suhr, Sergey Levine, Aviral Kumar
- Published: 03 Jul 2024, Last Modified: 10 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
GROD: Enhancing Generalization of Transformer with Out-of-Distribution Detection
Yijin Zhou, Yu Guang Wang
- Published: 03 Jul 2024, Last Modified: 14 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Recursive Introspection: Teaching LLM Agents How to Self-Improve
Yuxiao Qu, Tianjun Zhang, Naman Garg, Aviral Kumar
- Published: 03 Jul 2024, Last Modified: 17 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, André Hottung, Niels Wouda, Leon Lan, Kevin Tierney, Jinkyoo Park
- Published: 03 Jul 2024, Last Modified: 23 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
William Chen, Oier Mees, Aviral Kumar, Sergey Levine
- Published: 03 Jul 2024, Last Modified: 03 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Leveraging Generative Foundation Models for Domain Generalization
Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Xi Chen, Guojun Zhang
- Published: 03 Jul 2024, Last Modified: 15 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Test-Time Prototype Evolution for Generalizable Vision-Language Models
Ce Zhang, Simon Stepputtis, Katia P. Sycara, Yaqi Xie
- Published: 03 Jul 2024, Last Modified: 11 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Federated Fine-Tuning of Vision Foundation Models via Probabilistic Masking
Vasileios Tsouvalas, Yuki M Asano, Aaqib Saeed
- Published: 03 Jul 2024, Last Modified: 11 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Instruction Tuning With Loss Over Instructions
Zhengyan Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani
- Published: 03 Jul 2024, Last Modified: 03 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Two-Level Test-Time Adaptation in Multimodal Learning
Jixiang Lei, Franz Pernkopf
- Published: 03 Jul 2024, Last Modified: 12 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
Sagar Srinivas Sakhinana, Sannidhi Gowri Naga Krishna Geethan, Chidaksh Ravuru, Venkataramana Runkana
- Published: 03 Jul 2024, Last Modified: 11 Jul 2024
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone