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Solving for X and Beyond: Can Large Language Models Solve Complex Math
  Problems with More-Than-Two Unknowns?

Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?

6 July 2024
Kuei-Chun Kao
Ruochen Wang
Cho-Jui Hsieh
    ELM
    LRM
ArXivPDFHTML

Papers citing "Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?"

4 / 4 papers shown
Title
Policy Guided Tree Search for Enhanced LLM Reasoning
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li
LRM
45
0
0
04 Feb 2025
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
Math Word Problem Generation with Mathematical Consistency and Problem
  Context Constraints
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints
Zichao Wang
Andrew S. Lan
Richard G. Baraniuk
26
43
0
09 Sep 2021
1