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Lightweight Latent Verifiers for Efficient Meta-Generation Strategies

Lightweight Latent Verifiers for Efficient Meta-Generation Strategies

23 April 2025
Bartosz Piotrowski
Witold Drzewakowski
Konrad Staniszewski
Piotr Miłoś
    LRM
ArXiv (abs)PDFHTML

Papers citing "Lightweight Latent Verifiers for Efficient Meta-Generation Strategies"

20 / 20 papers shown
Title
Correctness Assessment of Code Generated by Large Language Models Using Internal Representations
Correctness Assessment of Code Generated by Large Language Models Using Internal Representations
Tuan-Dung Bui
Thanh Trong Vu
Thu-Trang Nguyen
Son Nguyen
H. Vo
LRM
38
2
0
22 Jan 2025
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in
  Large Language Models
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Iman Mirzadeh
Keivan Alizadeh
Hooman Shahrokhi
Oncel Tuzel
Samy Bengio
Mehrdad Farajtabar
AIMatLRM
114
186
0
07 Oct 2024
Scaling LLM Test-Time Compute Optimally can be More Effective than
  Scaling Model Parameters
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Charlie Snell
Jaehoon Lee
Kelvin Xu
Aviral Kumar
LRM
198
698
0
06 Aug 2024
InternalInspector $I^2$: Robust Confidence Estimation in LLMs through
  Internal States
InternalInspector I2I^2I2: Robust Confidence Estimation in LLMs through Internal States
Mohammad Beigi
Ying Shen
Runing Yang
Zihao Lin
Qifan Wang
Ankith Mohan
Jianfeng He
Ming Jin
Chang-Tien Lu
Lifu Huang
HILM
78
10
0
17 Jun 2024
Improve Mathematical Reasoning in Language Models by Automated Process
  Supervision
Improve Mathematical Reasoning in Language Models by Automated Process Supervision
Liangchen Luo
Yinxiao Liu
Rosanne Liu
Samrat Phatale
Harsh Lara
...
Lei Shu
Yun Zhu
Lei Meng
Jiao Sun
Abhinav Rastogi
LRM
102
193
0
05 Jun 2024
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and
  Local Refinements
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
Alex Havrilla
Sharath Raparthy
Christoforus Nalmpantis
Jane Dwivedi-Yu
Maksym Zhuravinskyi
Eric Hambro
Roberta Railneau
ReLMLRM
86
65
0
13 Feb 2024
Large Language Models for Mathematical Reasoning: Progresses and
  Challenges
Large Language Models for Mathematical Reasoning: Progresses and Challenges
Janice Ahn
Rishu Verma
Renze Lou
Di Liu
Rui Zhang
Wenpeng Yin
LRM
135
146
0
31 Jan 2024
OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
Keiran Paster
Marco Dos Santos
Zhangir Azerbayev
Jimmy Ba
LRM
73
93
0
10 Oct 2023
Learning the greatest common divisor: explaining transformer predictions
Learning the greatest common divisor: explaining transformer predictions
Franccois Charton
68
18
0
29 Aug 2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Maciej Besta
Nils Blach
Aleš Kubíček
Robert Gerstenberger
Michal Podstawski
...
Joanna Gajda
Tomasz Lehmann
H. Niewiadomski
Piotr Nyczyk
Torsten Hoefler
LRMAI4CELM&Ro
169
707
0
18 Aug 2023
ProPILE: Probing Privacy Leakage in Large Language Models
ProPILE: Probing Privacy Leakage in Large Language Models
Siwon Kim
Sangdoo Yun
Hwaran Lee
Martin Gubri
Sungroh Yoon
Seong Joon Oh
PILM
476
111
3
04 Jul 2023
Let's Verify Step by Step
Let's Verify Step by Step
Hunter Lightman
V. Kosaraju
Yura Burda
Harrison Edwards
Bowen Baker
Teddy Lee
Jan Leike
John Schulman
Ilya Sutskever
K. Cobbe
ALMOffRLLRM
198
1,240
0
31 May 2023
NaturalProver: Grounded Mathematical Proof Generation with Language
  Models
NaturalProver: Grounded Mathematical Proof Generation with Language Models
Sean Welleck
Jiacheng Liu
Ximing Lu
Hannaneh Hajishirzi
Yejin Choi
AIMatLRM
75
73
0
25 May 2022
STaR: Bootstrapping Reasoning With Reasoning
STaR: Bootstrapping Reasoning With Reasoning
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
ReLMLRM
144
511
0
28 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&RoLRMAI4CEReLM
855
9,714
0
28 Jan 2022
Show Your Work: Scratchpads for Intermediate Computation with Language
  Models
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye
Anders Andreassen
Guy Gur-Ari
Henryk Michalewski
Jacob Austin
...
Aitor Lewkowycz
Maarten Bosma
D. Luan
Charles Sutton
Augustus Odena
ReLMLRM
183
756
0
30 Nov 2021
Training Verifiers to Solve Math Word Problems
Training Verifiers to Solve Math Word Problems
K. Cobbe
V. Kosaraju
Mohammad Bavarian
Mark Chen
Heewoo Jun
...
Jerry Tworek
Jacob Hilton
Reiichiro Nakano
Christopher Hesse
John Schulman
ReLMOffRLLRM
362
4,598
0
27 Oct 2021
Analysing Mathematical Reasoning Abilities of Neural Models
Analysing Mathematical Reasoning Abilities of Neural Models
D. Saxton
Edward Grefenstette
Felix Hill
Pushmeet Kohli
LRM
212
431
0
02 Apr 2019
Understanding intermediate layers using linear classifier probes
Understanding intermediate layers using linear classifier probes
Guillaume Alain
Yoshua Bengio
FAtt
175
958
0
05 Oct 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
817
39,255
0
09 Mar 2016
1