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Probabilistic Inference in Language Models via Twisted Sequential Monte
  Carlo

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

26 April 2024
Stephen Zhao
Rob Brekelmans
Alireza Makhzani
Roger C. Grosse
ArXivPDFHTML

Papers citing "Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo"

11 / 11 papers shown
Title
Guide your favorite protein sequence generative model
Guide your favorite protein sequence generative model
Junhao Xiong
Hunter Nisonoff
Ishan Gaur
Jennifer Listgarten
DiffM
48
0
0
07 May 2025
Semantic Probabilistic Control of Language Models
Semantic Probabilistic Control of Language Models
Kareem Ahmed
Catarina G Belém
Padhraic Smyth
Sameer Singh
35
0
0
04 May 2025
Large (Vision) Language Models are Unsupervised In-Context Learners
Large (Vision) Language Models are Unsupervised In-Context Learners
Artyom Gadetsky
Andrei Atanov
Yulun Jiang
Zhitong Gao
Ghazal Hosseini Mighan
Amir Zamir
Maria Brbić
VLM
MLLM
LRM
64
0
0
03 Apr 2025
A Critical Look At Tokenwise Reward-Guided Text Generation
A Critical Look At Tokenwise Reward-Guided Text Generation
Ahmad Rashid
Ruotian Wu
Julia Grosse
Agustinus Kristiadi
Pascal Poupart
OffRL
68
0
0
17 Feb 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models
A General Framework for Inference-time Scaling and Steering of Diffusion Models
R. Singhal
Zachary Horvitz
Ryan Teehan
Mengye Ren
Zhou Yu
Kathleen McKeown
Rajesh Ranganath
DiffM
61
15
0
17 Jan 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Zhen Liu
Tim Z. Xiao
Weiyang Liu
Yoshua Bengio
Dinghuai Zhang
115
2
0
10 Dec 2024
Estimating the Probabilities of Rare Outputs in Language Models
Estimating the Probabilities of Rare Outputs in Language Models
Gabriel Wu
Jacob Hilton
AAML
UQCV
35
2
0
17 Oct 2024
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Chenyu Wang
Masatoshi Uehara
Yichun He
Amy Wang
Tommaso Biancalani
Avantika Lal
Tommi Jaakkola
Sergey Levine
Hanchen Wang
Aviv Regev
48
8
0
17 Oct 2024
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
Yuchen Shen
Chenhao Zhang
Sijie Fu
Chenghui Zhou
Newell Washburn
Barnabás Póczos
43
0
0
09 Oct 2024
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
Byoungwoo Park
Hyungi Lee
Juho Lee
AI4TS
41
0
0
08 Oct 2024
Cascade Reward Sampling for Efficient Decoding-Time Alignment
Cascade Reward Sampling for Efficient Decoding-Time Alignment
Bolian Li
Yifan Wang
A. Grama
Ruqi Zhang
Ruqi Zhang
AI4TS
44
8
0
24 Jun 2024
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