ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2502.02584
  4. Cited By
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search

4 February 2025
Zongyu Lin
Yao Tang
Xingcheng Yao
Da Yin
Ziniu Hu
Ningyu Zhang
Kai-Wei Chang
    LRM
ArXivPDFHTML

Papers citing "QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search"

37 / 37 papers shown
Title
Large Language Models for Planning: A Comprehensive and Systematic Survey
Large Language Models for Planning: A Comprehensive and Systematic Survey
Pengfei Cao
Tianyi Men
Wencan Liu
Jingwen Zhang
Xuzhao Li
Xixun Lin
Dianbo Sui
Yanan Cao
Kang Liu
Jun Zhao
LLMAG
LM&Ro
OffRL
ELM
LRM
50
0
0
26 May 2025
Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision
Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision
Eric Hanchen Jiang
Haozheng Luo
Shengyuan Pang
Xiaomin Li
Zhenting Qi
...
Zongyu Lin
Xinfeng Li
Hao Xu
Kai-Wei Chang
Ying Nian Wu
LRM
63
0
0
21 May 2025
Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
Sakhinana Sagar Srinivas
Akash Das
Shivam Gupta
Venkataramana Runkana
OffRL
80
1
0
02 Apr 2025
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
Zhenfang Chen
Delin Chen
Rui Sun
Wenjun Liu
Chuang Gan
LLMAG
76
4
0
17 Feb 2025
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Kimi Team
Angang Du
Bofei Gao
Bowei Xing
Changjiu Jiang
...
Zihao Huang
Ziyao Xu
Zhiyong Yang
Zonghan Yang
Zongyu Lin
OffRL
ALM
AI4TS
VLM
LRM
190
250
0
22 Jan 2025
Free Process Rewards without Process Labels
Free Process Rewards without Process Labels
Lifan Yuan
Wendi Li
Huayu Chen
Ganqu Cui
Ning Ding
Kaiyan Zhang
Bowen Zhou
Ziqiang Liu
Hao Peng
OffRL
89
55
0
02 Dec 2024
Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models
Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models
Yuanzhao Zhai
Tingkai Yang
Kele Xu
Feng Dawei
Cheng Yang
Bo Ding
Huaimin Wang
228
10
0
14 Sep 2024
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
Pranav Putta
Edmund Mills
Naman Garg
S. Motwani
Chelsea Finn
Divyansh Garg
Rafael Rafailov
LLMAG
LRM
43
76
0
13 Aug 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
108
576
0
06 Aug 2024
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math
  Reasoning by Eight-Fold
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
Amrith Rajagopal Setlur
Saurabh Garg
Xinyang Geng
Naman Garg
Virginia Smith
Aviral Kumar
67
51
0
20 Jun 2024
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning
Chaojie Wang
Yanchen Deng
Zhiyi Lyu
Liang Zeng
Jujie He
Shuicheng Yan
Bo An
LRM
ReLM
55
54
0
20 Jun 2024
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs
Xueqing Wu
Zongyu Lin
Songyan Zhao
Te-Lin Wu
Pan Lu
Nanyun Peng
Kai-Wei Chang
LRM
78
2
0
19 Jun 2024
VideoPhy: Evaluating Physical Commonsense for Video Generation
VideoPhy: Evaluating Physical Commonsense for Video Generation
Hritik Bansal
Zongyu Lin
Tianyi Xie
Zeshun Zong
Michal Yarom
Yonatan Bitton
Chenfanfu Jiang
Ningyu Zhang
Kai-Wei Chang
Aditya Grover
EGVM
VGen
63
43
0
05 Jun 2024
Trial and Error: Exploration-Based Trajectory Optimization for LLM
  Agents
Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents
Yifan Song
Da Yin
Xiang Yue
Jie Huang
Sujian Li
Bill Yuchen Lin
56
74
0
04 Mar 2024
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via
  Controllable Question Decomposition
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition
Zhaorun Chen
Zhuokai Zhao
Zhihong Zhu
Ruiqi Zhang
Xiang Li
Bhiksha Raj
Huaxiu Yao
LRM
38
25
0
18 Feb 2024
V-STaR: Training Verifiers for Self-Taught Reasoners
V-STaR: Training Verifiers for Self-Taught Reasoners
Arian Hosseini
Xingdi Yuan
Nikolay Malkin
Rameswar Panda
Alessandro Sordoni
Rishabh Agarwal
ReLM
LRM
64
119
0
09 Feb 2024
Beyond Human Data: Scaling Self-Training for Problem-Solving with
  Language Models
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Avi Singh
John D. Co-Reyes
Rishabh Agarwal
Ankesh Anand
Piyush Patil
...
Yamini Bansal
Ethan Dyer
Behnam Neyshabur
Jascha Narain Sohl-Dickstein
Noah Fiedel
ALM
LRM
ReLM
SyDa
175
171
0
11 Dec 2023
Agent Lumos: Unified and Modular Training for Open-Source Language
  Agents
Agent Lumos: Unified and Modular Training for Open-Source Language Agents
Da Yin
Faeze Brahman
Abhilasha Ravichander
Khyathi Chandu
Kai-Wei Chang
Yejin Choi
Bill Yuchen Lin
LLMAG
50
43
0
09 Nov 2023
FireAct: Toward Language Agent Fine-tuning
FireAct: Toward Language Agent Fine-tuning
Baian Chen
Chang Shu
Ehsan Shareghi
Nigel Collier
Karthik Narasimhan
Shunyu Yao
ALM
LLMAG
123
103
0
09 Oct 2023
Language Agent Tree Search Unifies Reasoning Acting and Planning in
  Language Models
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Xiaoxiao Sun
Yang Yang
Michal Shlapentokh-Rothman
Haohan Wang
Yu-Xiong Wang
LRM
AI4CE
LM&Ro
LLMAG
54
199
0
06 Oct 2023
Alphazero-like Tree-Search can Guide Large Language Model Decoding and
  Training
Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training
Xidong Feng
Bo Liu
Muning Wen
Stephen Marcus McAleer
Ying Wen
Weinan Zhang
Jun Wang
LRM
AI4CE
46
179
0
29 Sep 2023
Reinforced Self-Training (ReST) for Language Modeling
Reinforced Self-Training (ReST) for Language Modeling
Çağlar Gülçehre
T. Paine
S. Srinivasan
Ksenia Konyushkova
L. Weerts
...
Chenjie Gu
Wolfgang Macherey
Arnaud Doucet
Orhan Firat
Nando de Freitas
OffRL
98
293
0
17 Aug 2023
Scaling Relationship on Learning Mathematical Reasoning with Large
  Language Models
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Zheng Yuan
Hongyi Yuan
Cheng Li
Guanting Dong
Keming Lu
Chuanqi Tan
Chang Zhou
Jingren Zhou
LRM
ALM
60
184
0
03 Aug 2023
RestGPT: Connecting Large Language Models with Real-World RESTful APIs
RestGPT: Connecting Large Language Models with Real-World RESTful APIs
Yifan Song
Weimin Xiong
Dawei Zhu
Wenhao Wu
Han Qian
...
Cheng Li
Ke Wang
Rong Yao
Ye Tian
Sujian Li
RALM
LLMAG
CLL
LM&MA
41
60
0
11 Jun 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
ALM
OffRL
LRM
109
1,044
0
31 May 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov
Archit Sharma
E. Mitchell
Stefano Ermon
Christopher D. Manning
Chelsea Finn
ALM
293
3,712
0
29 May 2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging
  Face
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen
Kaitao Song
Xu Tan
Dongsheng Li
Weiming Lu
Yueting Zhuang
MLLM
78
871
0
30 Mar 2023
Reflexion: Language Agents with Verbal Reinforcement Learning
Reflexion: Language Agents with Verbal Reinforcement Learning
Noah Shinn
Federico Cassano
Beck Labash
A. Gopinath
Karthik Narasimhan
Shunyu Yao
LLMAG
KELM
41
1,190
0
20 Mar 2023
Learning to Detect Noisy Labels Using Model-Based Features
Learning to Detect Noisy Labels Using Model-Based Features
Zhihao Wang
Zongyu Lin
Peiqi Liu
Guidong Zheng
Jun-Hao Wen
Xianxin Chen
Yujun Chen
Zhilin Yang
NoLa
30
3
0
28 Dec 2022
A Universal Discriminator for Zero-Shot Generalization
A Universal Discriminator for Zero-Shot Generalization
Haike Xu
Zongyu Lin
Jing Zhou
Yanan Zheng
Zhilin Yang
AI4CE
33
15
0
15 Nov 2022
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
350
2,709
0
06 Oct 2022
WebShop: Towards Scalable Real-World Web Interaction with Grounded
  Language Agents
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Shunyu Yao
Howard Chen
John Yang
Karthik Narasimhan
LLMAG
LM&Ro
59
472
0
04 Jul 2022
ScienceWorld: Is your Agent Smarter than a 5th Grader?
ScienceWorld: Is your Agent Smarter than a 5th Grader?
Ruoyao Wang
Peter Alexander Jansen
Marc-Alexandre Côté
Prithviraj Ammanabrolu
LLMAG
ReLM
LRM
71
117
0
14 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&Ro
LRM
AI4CE
ReLM
596
9,009
0
28 Jan 2022
ALFWorld: Aligning Text and Embodied Environments for Interactive
  Learning
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar
Xingdi Yuan
Marc-Alexandre Côté
Yonatan Bisk
Adam Trischler
Matthew J. Hausknecht
LM&Ro
LLMAG
63
423
0
08 Oct 2020
Is Q-learning Provably Efficient?
Is Q-learning Provably Efficient?
Chi Jin
Zeyuan Allen-Zhu
Sébastien Bubeck
Michael I. Jordan
OffRL
52
801
0
10 Jul 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
245
18,685
0
20 Jul 2017
1