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Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
v1v2 (latest)

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo

International Conference on Learning Representations (ICLR), 2025
17 April 2025
João Loula
Benjamin LeBrun
Li Du
Ben Lipkin
Clemente Pasti
Gabriel Grand
Tianyu Liu
Yahya Emara
Marjorie Freedman
Jason Eisner
Ryan Cotterel
Vikash K. Mansinghka
Alexander K. Lew
Tim Vieira
Timothy J. O'Donnell
ArXiv (abs)PDFHTML

Papers citing "Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo"

50 / 87 papers shown
Title
Learning Tractable Distributions Of Language Model Continuations
Gwen Yidou Weng
Ian Li
Anji Liu
Oliver Broadrick
Guy Van den Broeck
Benjie Wang
56
0
0
20 Nov 2025
Test-Time Alignment of LLMs via Sampling-Based Optimal Control in pre-logit space
Test-Time Alignment of LLMs via Sampling-Based Optimal Control in pre-logit space
Sekitoshi Kanai
Tsukasa Yoshida
Hiroshi Takahashi
Haru Kuroki
Kazumune Hashimoto
93
0
0
30 Oct 2025
Reinforced sequential Monte Carlo for amortised sampling
Reinforced sequential Monte Carlo for amortised sampling
Sanghyeok Choi
Sarthak Mittal
Victor Elvira
Jinkyoo Park
Nikolay Malkin
118
0
0
13 Oct 2025
Constrained Adaptive Rejection Sampling
Constrained Adaptive Rejection Sampling
Paweł Parys
Sairam Vaidya
Taylor Berg-Kirkpatrick
Loris Dántoni
84
1
0
02 Oct 2025
REFINESTAT: Efficient Exploration for Probabilistic Program Synthesis
REFINESTAT: Efficient Exploration for Probabilistic Program Synthesis
Madhav Kanda
Shubham Ugare
Sasa Misailovic
76
0
0
01 Sep 2025
Neuro-Symbolic Predictive Process Monitoring
Neuro-Symbolic Predictive Process Monitoring
Axel Mezini
Elena Umili
Ivan Donadello
F. Maggi
Matteo Mancanelli
F. Patrizi
128
0
0
31 Aug 2025
Navigating the Exploration-Exploitation Tradeoff in Inference-Time Scaling of Diffusion Models
Navigating the Exploration-Exploitation Tradeoff in Inference-Time Scaling of Diffusion Models
Xun Su
Jianming Huang
Yang Yusen
Zhongxi Fang
Hiroyuki Kasai
DiffM
143
1
0
17 Aug 2025
Improving Constrained Language Generation via Self-Distilled Twisted Sequential Monte Carlo
Improving Constrained Language Generation via Self-Distilled Twisted Sequential Monte Carlo
Sooyeon Kim
G. Nam
Byoungwoo Park
Juho Lee
112
0
0
03 Jul 2025
ABS: Enforcing Constraint Satisfaction On Generated Sequences Via Automata-Guided Beam Search
ABS: Enforcing Constraint Satisfaction On Generated Sequences Via Automata-Guided Beam Search
Vincenzo Collura
Karim Tit
Laura Bussi
Eleonora Giunchiglia
Maxime Cordy
225
1
0
11 Jun 2025
DINGO: Constrained Inference for Diffusion LLMs
DINGO: Constrained Inference for Diffusion LLMs
Tarun Suresh
Debangshu Banerjee
Shubham Ugare
Sasa Misailovic
Gagandeep Singh
DiffM
168
3
0
29 May 2025
Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners
Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners
Jiabao Ji
Yongchao Chen
Yang Zhang
Ramana Rao Kompella
Chuchu Fan
Gaowen Liu
Shiyu Chang
378
2
0
26 May 2025
Semantic Probabilistic Control of Language Models
Semantic Probabilistic Control of Language Models
Kareem Ahmed
Catarina G Belém
Padhraic Smyth
Sameer Singh
272
3
0
04 May 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
...
Robert Bamler
Vikash K. Mansinghka
Timothy J. O'Donnell
Alexander K. Lew
Tim Vieira
351
5
0
07 Apr 2025
Causally Reliable Concept Bottleneck Models
Causally Reliable Concept Bottleneck Models
Giovanni De Felice
Arianna Casanova Flores
Francesco De Santis
Silvia Santini
Johannes Schneider
Pietro Barbiero
Alberto Termine
450
4
0
06 Mar 2025
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
Hyunwoo Kim
Melanie Sclar
Tan Zhi-Xuan
Lance Ying
Sydney Levine
Yang Liu
Joshua B. Tenenbaum
Yejin Choi
LRMLLMAG
230
11
0
17 Feb 2025
Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
Isha Puri
Shivchander Sudalairaj
Guangxuan Xu
Kai Xu
Akash Srivastava
LRM
833
5
0
03 Feb 2025
From Language Models over Tokens to Language Models over Characters
From Language Models over Tokens to Language Models over Characters
Tim Vieira
Ben LeBrun
Mario Giulianelli
Juan Luis Gastaldi
Brian DuSell
John Terilla
Timothy J. O'Donnell
Robert Bamler
387
21
0
04 Dec 2024
Automata-based constraints for language model decoding
Automata-based constraints for language model decoding
Terry Koo
Frederick Liu
Luheng He
AI4CE
337
38
0
11 Jul 2024
Variational Best-of-N Alignment
Variational Best-of-N Alignment
Afra Amini
Tim Vieira
Robert Bamler
Ryan Cotterell
BDL
433
37
0
08 Jul 2024
BoNBoN Alignment for Large Language Models and the Sweetness of
  Best-of-n Sampling
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
Lin Gui
Cristina Garbacea
Victor Veitch
BDLLM&MA
389
92
0
02 Jun 2024
Grammar-Aligned Decoding
Grammar-Aligned Decoding
Kanghee Park
Jiayu Wang
Taylor Berg-Kirkpatrick
Nadia Polikarpova
Loris Dántoni
285
29
0
31 May 2024
Linearly Controlled Language Generation with Performative Guarantees
Linearly Controlled Language Generation with Performative Guarantees
Emily Cheng
Marco Baroni
343
9
0
24 May 2024
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale
  Synthetic Data
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Huajian Xin
Daya Guo
Zhihong Shao
Zhaochun Ren
Qihao Zhu
Bo Liu
Chong Ruan
Wenda Li
Xiaodan Liang
SyDa
258
145
0
23 May 2024
Constructing a BPE Tokenization DFA
Constructing a BPE Tokenization DFA
Martin Berglund
Willeke Martens
Brink van der Merwe
137
3
0
13 May 2024
Probabilistic Inference in Language Models via Twisted Sequential Monte
  Carlo
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Stephen Zhao
Rob Brekelmans
Alireza Makhzani
Roger C. Grosse
254
53
0
26 Apr 2024
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy
  Data
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
Fahim Tajwar
Anika Singh
Archit Sharma
Rafael Rafailov
Jeff Schneider
Tengyang Xie
Stefano Ermon
Chelsea Finn
Aviral Kumar
401
168
0
22 Apr 2024
PROC2PDDL: Open-Domain Planning Representations from Texts
PROC2PDDL: Open-Domain Planning Representations from Texts
Tianyi Zhang
Li Zhang
Zhaoyi Hou
Ziyu Wang
Yuling Gu
Peter Clark
Chris Callison-Burch
Niket Tandon
171
11
0
29 Feb 2024
Pragmatic Instruction Following and Goal Assistance via Cooperative
  Language-Guided Inverse Planning
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
Zhi-Xuan Tan
Lance Ying
Vikash K. Mansinghka
Joshua B. Tenenbaum
289
33
0
27 Feb 2024
Iterative Preference Learning from Human Feedback: Bridging Theory and
  Practice for RLHF under KL-Constraint
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint
Wei Xiong
Hanze Dong
Chen Ye
Ziqi Wang
Han Zhong
Heng Ji
Nan Jiang
Tong Zhang
OffRL
331
289
0
18 Dec 2023
Learning adaptive planning representations with natural language
  guidance
Learning adaptive planning representations with natural language guidance
L. Wong
Jiayuan Mao
Pratyusha Sharma
Zachary S. Siegel
Jiahai Feng
Noa Korneev
Joshua B. Tenenbaum
Jacob Andreas
LM&Ro
262
39
0
13 Dec 2023
SGLang: Efficient Execution of Structured Language Model Programs
SGLang: Efficient Execution of Structured Language Model ProgramsNeural Information Processing Systems (NeurIPS), 2023
Lianmin Zheng
Liangsheng Yin
Zhiqiang Xie
Chuyue Sun
Jeff Huang
...
Christos Kozyrakis
Ion Stoica
Joseph E. Gonzalez
Clark W. Barrett
Ying Sheng
LRM
390
441
0
12 Dec 2023
Controlled Decoding from Language Models
Controlled Decoding from Language ModelsInternational Conference on Machine Learning (ICML), 2023
Sidharth Mudgal
Jong Lee
H. Ganapathy
Yaguang Li
Tao Wang
...
Michael Collins
Trevor Strohman
Jilin Chen
Alex Beutel
Ahmad Beirami
443
113
0
25 Oct 2023
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining
  Language Models with First-Order Logic Provers
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Theo X. Olausson
Alex Gu
Benjamin Lipkin
Cedegao E. Zhang
Armando Solar-Lezama
Josh Tenenbaum
Roger Levy
LRMAI4CEReLM
467
182
0
23 Oct 2023
Efficient Guided Generation for Large Language Models
Efficient Guided Generation for Large Language Models
Brandon T. Willard
Rémi Louf
291
71
0
19 Jul 2023
Secrets of RLHF in Large Language Models Part I: PPO
Secrets of RLHF in Large Language Models Part I: PPO
Rui Zheng
Jiajun Sun
Songyang Gao
Yuan Hua
Wei Shen
...
Hang Yan
Tao Gui
Tao Gui
Xipeng Qiu
Xuanjing Huang
ALMOffRL
299
230
0
11 Jul 2023
Efficient Semiring-Weighted Earley Parsing
Efficient Semiring-Weighted Earley ParsingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Andreas Opedal
Ran Zmigrod
Tim Vieira
Robert Bamler
Jason Eisner
170
3
0
06 Jul 2023
Should you marginalize over possible tokenizations?
Should you marginalize over possible tokenizations?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Nadezhda Chirkova
Germán Kruszewski
Jos Rozen
Marc Dymetman
194
15
0
30 Jun 2023
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling
  Probabilistic Social Inferences from Linguistic Inputs
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs
Lance Ying
Katherine M. Collins
Megan Wei
Cedegao E. Zhang
Tan Zhi-Xuan
Adrian Weller
J. Tenenbaum
L. Wong
260
22
0
25 Jun 2023
Sequential Monte Carlo Steering of Large Language Models using
  Probabilistic Programs
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
Alexander K. Lew
Tan Zhi-Xuan
Gabriel Grand
Vikash K. Mansinghka
LLMSVLRM
438
56
0
05 Jun 2023
Let's Verify Step by Step
Let's Verify Step by StepInternational Conference on Learning Representations (ICLR), 2023
Hunter Lightman
V. Kosaraju
Yura Burda
Harrison Edwards
Bowen Baker
Teddy Lee
Jan Leike
John Schulman
Ilya Sutskever
K. Cobbe
ALMOffRLLRM
998
2,131
0
31 May 2023
Grammar Prompting for Domain-Specific Language Generation with Large
  Language Models
Grammar Prompting for Domain-Specific Language Generation with Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Bailin Wang
Zi Wang
Xuezhi Wang
Yuan Cao
Rif A. Saurous
Yoon Kim
ReLMLRM
310
89
0
30 May 2023
Leveraging Pre-trained Large Language Models to Construct and Utilize
  World Models for Model-based Task Planning
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task PlanningNeural Information Processing Systems (NeurIPS), 2023
L. Guan
Kaya Stechly
S. Sreedharan
Subbarao Kambhampati
LLMAG
283
248
0
24 May 2023
Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
Grammar-Constrained Decoding for Structured NLP Tasks without FinetuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Saibo Geng
Martin Josifosky
Maxime Peyrard
Robert West
566
123
0
23 May 2023
LLM+P: Empowering Large Language Models with Optimal Planning
  Proficiency
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
B. Liu
Yuqian Jiang
Xiaohan Zhang
Qian Liu
Shiqi Zhang
Joydeep Biswas
Peter Stone
LM&RoLLMAG
406
539
0
22 Apr 2023
Tractable Control for Autoregressive Language Generation
Tractable Control for Autoregressive Language GenerationInternational Conference on Machine Learning (ICML), 2023
Honghua Zhang
Meihua Dang
Nanyun Peng
Karen Ullrich
BDL
341
56
0
15 Apr 2023
Planning with Large Language Models for Code Generation
Planning with Large Language Models for Code GenerationInternational Conference on Learning Representations (ICLR), 2023
Shun Zhang
Zhenfang Chen
Songlin Yang
Mingyu Ding
J. Tenenbaum
Chuang Gan
217
211
0
09 Mar 2023
Grounded Decoding: Guiding Text Generation with Grounded Models for
  Embodied Agents
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied AgentsNeural Information Processing Systems (NeurIPS), 2023
Wenlong Huang
Fei Xia
Dhruv Shah
Danny Driess
Andy Zeng
...
Pete Florence
Igor Mordatch
Sergey Levine
Karol Hausman
Brian Ichter
LM&Ro
232
76
0
01 Mar 2023
Translating Natural Language to Planning Goals with Large-Language
  Models
Translating Natural Language to Planning Goals with Large-Language Models
Yaqi Xie
Chenyao Yu
Tongyao Zhu
Jinbin Bai
Ze Gong
Harold Soh
LM&RoLRM
209
171
0
10 Feb 2023
Principled Reinforcement Learning with Human Feedback from Pairwise or
  $K$-wise Comparisons
Principled Reinforcement Learning with Human Feedback from Pairwise or KKK-wise ComparisonsInternational Conference on Machine Learning (ICML), 2023
Banghua Zhu
Jiantao Jiao
Michael I. Jordan
OffRL
414
247
0
26 Jan 2023
Constitutional AI: Harmlessness from AI Feedback
Constitutional AI: Harmlessness from AI Feedback
Yuntao Bai
Saurav Kadavath
Sandipan Kundu
Amanda Askell
John Kernion
...
Dario Amodei
Nicholas Joseph
Sam McCandlish
Tom B. Brown
Jared Kaplan
SyDaMoMe
766
2,226
0
15 Dec 2022
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