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A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods

A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods

3 February 2025
Isha Puri
Shivchander Sudalairaj
Guangxuan Xu
Kai Xu
Akash Srivastava
    LRM
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Papers citing "A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods"

3 / 3 papers shown
Title
Soft Best-of-n Sampling for Model Alignment
Soft Best-of-n Sampling for Model Alignment
C. M. Verdun
Alex Oesterling
Himabindu Lakkaraju
Flavio du Pin Calmon
BDL
47
0
0
06 May 2025
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
João Loula
Benjamin LeBrun
Li Du
Ben Lipkin
Clemente Pasti
...
Ryan Cotterel
Vikash K. Mansinghka
Alexander K. Lew
Tim Vieira
Timothy J. O'Donnell
27
1
0
17 Apr 2025
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
Benjamin Lipkin
Benjamin LeBrun
Jacob Hoover Vigly
João Loula
David R. MacIver
...
Ryan Cotterell
Vikash K. Mansinghka
Timothy J. O'Donnell
Alexander K. Lew
Tim Vieira
24
0
0
07 Apr 2025
1