Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
- Isha Puri
- Shivchander Sudalairaj
- et al.
- 2025
- NeurIPS 2025
Conference paper
Publications
7 results for Abhishek Bhandwaldar
UNVEILING THE SECRET RECIPE: A GUIDE FOR SUPERVISED FINE-TUNING SMALL LLMS
- Aldo Pareja
- Nikhil Shivakumar Nayak
- et al.
- 2025
- ICLR 2025
Conference paperBeyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
- Zhang-wei Hong
- Aviral Kumar
- et al.
- 2023
- NeurIPS 2023
Conference paperThe ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI
- Chuang Gan
- Siyuan Zhou
- et al.
- 2022
- ICRA 2022
Conference paperThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
- Chuang Gan
- Jeremy Schwartz
- et al.
- 2021
- NeurIPS 2021
Conference paperOPEn: An Open-ended Physics Environment for Learning Without a Task
- Chuang Gan
- Abhishek Bhandwaldar
- et al.
- 2021
- IROS 2021
Conference paperAGENT: A Benchmark for Core Psychological Reasoning
- Tianmin Shu
- Abhishek Bhandwaldar
- et al.
- 2021
- ICML 2021
Conference paper