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2504.13139
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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
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Papers citing
"Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo"
37 / 87 papers shown
Title
Validating Large Language Models with ReLM
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DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
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Large Language Models Are Human-Level Prompt Engineers
International Conference on Learning Representations (ICLR), 2022
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Ziwen Han
Keiran Paster
Silviu Pitis
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Allan Raventós
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13 Jun 2022
Gradient-Based Constrained Sampling from Language Models
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Biswajit Paria
Yulia Tsvetkov
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279
64
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25 May 2022
RL with KL penalties is better viewed as Bayesian inference
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Tomasz Korbak
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RankGen: Improving Text Generation with Large Ranking Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
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Yapei Chang
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19 May 2022
Natural Language to Code Translation with Execution
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
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Sida I. Wang
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25 Apr 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Conference on Robot Learning (CoRL), 2022
Michael Ahn
Anthony Brohan
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Ted Xiao
Peng Xu
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559
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Recursive Monte Carlo and Variational Inference with Auxiliary Variables
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
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Marco F. Cusumano-Towner
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184
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05 Mar 2022
Training language models to follow instructions with human feedback
Neural Information Processing Systems (NeurIPS), 2022
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
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Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
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COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
Neural Information Processing Systems (NeurIPS), 2022
Lianhui Qin
Sean Welleck
Daniel Khashabi
Yejin Choi
AI4CE
319
180
0
23 Feb 2022
Synchromesh: Reliable code generation from pre-trained language models
International Conference on Learning Representations (ICLR), 2022
Gabriel Poesia
Oleksandr Polozov
Vu Le
A. Tiwari
Gustavo Soares
Christopher Meek
Sumit Gulwani
181
189
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26 Jan 2022
WebGPT: Browser-assisted question-answering with human feedback
Reiichiro Nakano
Jacob Hilton
S. Balaji
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Ouyang Long
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Gretchen Krueger
Kevin Button
Matthew Knight
B. Chess
John Schulman
ALM
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424
1,585
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17 Dec 2021
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics
Ximing Lu
Sean Welleck
Peter West
Liwei Jiang
Jungo Kasai
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Lianhui Qin
Youngjae Yu
Rowan Zellers
Noah A. Smith
Yejin Choi
170
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Few-Shot Semantic Parsing with Language Models Trained On Code
Richard Shin
Benjamin Van Durme
139
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16 Dec 2021
Keeping it Simple: Language Models can learn Complex Molecular Distributions
Nature Communications (Nat Commun), 2021
Daniel Flam-Shepherd
Kevin Zhu
A. Aspuru‐Guzik
338
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06 Dec 2021
A Plug-and-Play Method for Controlled Text Generation
Damian Pascual
Béni Egressy
Clara Meister
Robert Bamler
Roger Wattenhofer
233
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20 Sep 2021
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Torsten Scholak
Nathan Schucher
Dzmitry Bahdanau
393
461
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10 Sep 2021
You should evaluate your language model on marginal likelihood over tokenisations
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Kris Cao
Laura Rimell
243
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06 Sep 2021
Controlled Text Generation as Continuous Optimization with Multiple Constraints
Sachin Kumar
Eric Malmi
Aliaksei Severyn
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BDL
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Constrained Language Models Yield Few-Shot Semantic Parsers
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Richard Shin
C. H. Lin
Sam Thomson
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Subhro Roy
Emmanouil Antonios Platanios
Adam Pauls
Dan Klein
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Benjamin Van Durme
555
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18 Apr 2021
FUDGE: Controlled Text Generation With Future Discriminators
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Kevin Kaichuang Yang
Dan Klein
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12 Apr 2021
If beam search is the answer, what was the question?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Clara Meister
Tim Vieira
Robert Bamler
330
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06 Oct 2020
Learning to summarize from human feedback
Neural Information Processing Systems (NeurIPS), 2020
Nisan Stiennon
Long Ouyang
Jeff Wu
Daniel M. Ziegler
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Chelsea Voss
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Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
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Ning Miao
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129
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Plug and Play Language Models: A Simple Approach to Controlled Text Generation
International Conference on Learning Representations (ICLR), 2019
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Andrea Madotto
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Piero Molino
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Fine-Tuning Language Models from Human Preferences
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Elements of Sequential Monte Carlo
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Fredrik Lindsten
Thomas B. Schon
159
106
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CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao
Hao Zhou
Lili Mou
Rui Yan
Lei Li
241
199
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Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Tao Yu
Rui Zhang
Kai-Chou Yang
Michihiro Yasunaga
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...
Irene Li
Qingning Yao
Shanelle Roman
Zilin Zhang
Dragomir R. Radev
RALM
708
1,539
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24 Sep 2018
Neural Particle Smoothing for Sampling from Conditional Sequence Models
Chu-cheng Lin
Jason Eisner
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133
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0
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The sample size required in importance sampling
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P. Diaconis
378
209
0
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A Bayesian Model for Generative Transition-based Dependency Parsing
International Conference on Dependency Linguistics (Depling), 2015
Jan Buys
Phil Blunsom
99
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0
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The Fast Downward Planning System
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The pseudo-marginal approach for efficient Monte Carlo computations
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Gareth O. Roberts
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