Publications

THOMPSON SAMPLING VIA FINE-TUNING OF LLMS
- - Nicolas Menet
  - Aleksandar Terzic
  - et al.
- 2026
- ICLR 2026
Conference paper
NRGPT: An Energy-based Alternative for GPT
- - Nima Dehmamy
  - Benjamin Hoover
  - et al.
- 2026
- ICLR 2026
Conference paper
Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
- - Jenny Huang
  - Yunyi Shen
  - et al.
- 2026
- ICLR 2026
Conference paper
ACPBench Hard: Unrestrained Reasoning about Action, Change, and Planning
- - Harsha Kokel
  - Michael Katz
  - et al.
- 2026
- ICLR 2026
Conference paper
Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring
- - Natalia Martinez Gil
  - Fearghal O'Donncha
  - et al.
- 2026
- ICLR 2026
Conference paper
Mitigating the curse of detail: Scaling arguments for feature learning and sample complexity
- - Noa Rubin
  - Orit Davidovich
  - et al.
- 2026
- ICLR 2026
Conference paper
Is Finer Better? The Limits of Microscaling Formats in Large Language Models
- - Andrea Fasoli
  - Monodeep Kar
  - et al.
- 2026
- ICLR 2026
Conference paper
Soft-Masked Diffusion Language Models
- - Michael Hersche
  - Samuel Moor
  - et al.
- 2026
- ICLR 2026
Conference paper
ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents
- - Ido Levy
  - Ben Wiesel
  - et al.
- 2026
- ICLR 2026
Conference paper
Branch and Bound Search for Exact MAP Inference in Credal Networks
- - Radu Marinescu
  - Fabio Cozman
  - et al.
- 2026
- ICLR 2026
Conference paper