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. 2502.10938
  4. Cited By
PEA: Enhancing LLM Performance on Computational-Reasoning Tasks

PEA: Enhancing LLM Performance on Computational-Reasoning Tasks

16 February 2025
Zi Wang
Shiwei Weng
Mohannad J. Alhanahnah
S. Jha
Tom Reps
    LRM
    ReLM
ArXivPDFHTML

Papers citing "PEA: Enhancing LLM Performance on Computational-Reasoning Tasks"

4 / 4 papers shown
Title
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
...
Shiyu Wang
S. Yu
Shunfeng Zhou
Shuting Pan
S.S. Li
ReLM
VLM
OffRL
AI4TS
LRM
316
1,589
0
22 Jan 2025
Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming
Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming
Yilun Hao
Yang Zhang
Chuchu Fan
LLMAG
102
17
0
15 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
143
626
0
06 Aug 2024
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
738
9,267
0
28 Jan 2022
1