Saved in:
| Main Authors: | Raftopoulos, Athanassios, Müller, Vincent C. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.03495 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
by: Parmar, Mihir, et al.
Published: (2025)
by: Parmar, Mihir, et al.
Published: (2025)
GeoMathCode: Understanding Interleaved Math-Code Reasoning for Geometry Problem Solving
by: Zhang, Yingji, et al.
Published: (2026)
by: Zhang, Yingji, et al.
Published: (2026)
Structure-Grounded Knowledge Retrieval via Code Dependencies for Multi-Step Data Reasoning
by: Huang, Xinyi
Published: (2026)
by: Huang, Xinyi
Published: (2026)
Symbol grounding in computational systems: A paradox of intentions
by: Müller, Vincent C.
Published: (2025)
by: Müller, Vincent C.
Published: (2025)
Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery
by: Brenner, Michael P., et al.
Published: (2026)
by: Brenner, Michael P., et al.
Published: (2026)
Idea First, Code Later: Disentangling Problem Solving from Code Generation in Evaluating LLMs for Competitive Programming
by: Hadhoud, Sama, et al.
Published: (2026)
by: Hadhoud, Sama, et al.
Published: (2026)
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
by: Islam, Md. Ashraful, et al.
Published: (2024)
by: Islam, Md. Ashraful, et al.
Published: (2024)
Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations
by: Ong, Kai Tzu-iunn, et al.
Published: (2024)
by: Ong, Kai Tzu-iunn, et al.
Published: (2024)
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval
by: Wu, Jiarong, et al.
Published: (2025)
by: Wu, Jiarong, et al.
Published: (2025)
Surrogate Signals from Format and Length: Reinforcement Learning for Solving Mathematical Problems without Ground Truth Answers
by: Xin, Rihui, et al.
Published: (2025)
by: Xin, Rihui, et al.
Published: (2025)
PhysicsSolutionAgent: Towards Multimodal Explanations for Numerical Physics Problem Solving
by: Thole, Aditya, et al.
Published: (2026)
by: Thole, Aditya, et al.
Published: (2026)
Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems?
by: Hosain, Md Tanzib, et al.
Published: (2025)
by: Hosain, Md Tanzib, et al.
Published: (2025)
Code Generation and Algorithmic Problem Solving Using Llama 3.1 405B
by: Deroy, Aniket, et al.
Published: (2024)
by: Deroy, Aniket, et al.
Published: (2024)
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?
by: Tyagi, Nemika, et al.
Published: (2024)
by: Tyagi, Nemika, et al.
Published: (2024)
Prompt-to-Gesture: Measuring the Capabilities of Image-to-Video Deictic Gesture Generation
by: Ali, Hassan, et al.
Published: (2026)
by: Ali, Hassan, et al.
Published: (2026)
The Vector Grounding Problem
by: Mollo, Dimitri Coelho, et al.
Published: (2023)
by: Mollo, Dimitri Coelho, et al.
Published: (2023)
Using Code Generation to Solve Open Instances of Combinatorial Design Problems
by: Rosin, Christopher D.
Published: (2025)
by: Rosin, Christopher D.
Published: (2025)
GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models
by: Sharma, Aditya, et al.
Published: (2024)
by: Sharma, Aditya, et al.
Published: (2024)
Collaborative Problem-Solving in an Optimization Game
by: Jeknic, Isidora, et al.
Published: (2025)
by: Jeknic, Isidora, et al.
Published: (2025)
ChartREG++: Towards Benchmarking and Improving Chart Referring Expression Grounding under Diverse referring clues and Multi-Target Referring
by: Niu, Tianhao, et al.
Published: (2026)
by: Niu, Tianhao, et al.
Published: (2026)
Which symbol grounding problem should we try to solve?
by: Müller, Vincent C.
Published: (2025)
by: Müller, Vincent C.
Published: (2025)
Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism
by: Wang, Zhiwei, et al.
Published: (2024)
by: Wang, Zhiwei, et al.
Published: (2024)
CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning
by: Dong, Qihua, et al.
Published: (2025)
by: Dong, Qihua, et al.
Published: (2025)
Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs
by: Lyu, Zhiyi, et al.
Published: (2025)
by: Lyu, Zhiyi, et al.
Published: (2025)
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning
by: Dinucu-Jianu, David, et al.
Published: (2025)
by: Dinucu-Jianu, David, et al.
Published: (2025)
Problem-Solving Guide: Predicting the Algorithm Tags and Difficulty for Competitive Programming Problems
by: Kim, Juntae, et al.
Published: (2023)
by: Kim, Juntae, et al.
Published: (2023)
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
by: Yang, Zhe, et al.
Published: (2024)
by: Yang, Zhe, et al.
Published: (2024)
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
by: Islam, Md. Ashraful, et al.
Published: (2025)
by: Islam, Md. Ashraful, et al.
Published: (2025)
Self-consistent Reasoning For Solving Math Word Problems
by: Xiong, Jing, et al.
Published: (2022)
by: Xiong, Jing, et al.
Published: (2022)
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations
by: Wang, Yanwei, et al.
Published: (2024)
by: Wang, Yanwei, et al.
Published: (2024)
OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving
by: Zhang, Xinyu, et al.
Published: (2026)
by: Zhang, Xinyu, et al.
Published: (2026)
TEC: A Collection of Human Trial-and-error Trajectories for Problem Solving
by: Zhang, Xinkai, et al.
Published: (2026)
by: Zhang, Xinkai, et al.
Published: (2026)
Chinese Language Is Not More Efficient Than English in Vibe Coding: A Preliminary Study on Token Cost and Problem-Solving Rate
by: Ren, Simiao, et al.
Published: (2026)
by: Ren, Simiao, et al.
Published: (2026)
A Neural Rewriting System to Solve Algorithmic Problems
by: Petruzzellis, Flavio, et al.
Published: (2024)
by: Petruzzellis, Flavio, et al.
Published: (2024)
DeiSAM: Segment Anything with Deictic Prompting
by: Shindo, Hikaru, et al.
Published: (2024)
by: Shindo, Hikaru, et al.
Published: (2024)
NeuroSync: Intent-Aware Code-Based Problem Solving via Direct LLM Understanding Modification
by: Zhang, Wenshuo, et al.
Published: (2025)
by: Zhang, Wenshuo, et al.
Published: (2025)
SBSC: Step-By-Step Coding for Improving Mathematical Olympiad Performance
by: Singh, Kunal, et al.
Published: (2025)
by: Singh, Kunal, et al.
Published: (2025)
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
by: Lee, Seonghyeon, et al.
Published: (2025)
by: Lee, Seonghyeon, et al.
Published: (2025)
Solving the Inverse Alignment Problem for Efficient RLHF
by: Krishna, Shambhavi, et al.
Published: (2024)
by: Krishna, Shambhavi, et al.
Published: (2024)
Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
by: Li, Alan, et al.
Published: (2025)
by: Li, Alan, et al.
Published: (2025)
Similar Items
-
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
by: Parmar, Mihir, et al.
Published: (2025) -
GeoMathCode: Understanding Interleaved Math-Code Reasoning for Geometry Problem Solving
by: Zhang, Yingji, et al.
Published: (2026) -
Structure-Grounded Knowledge Retrieval via Code Dependencies for Multi-Step Data Reasoning
by: Huang, Xinyi
Published: (2026) -
Symbol grounding in computational systems: A paradox of intentions
by: Müller, Vincent C.
Published: (2025) -
Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery
by: Brenner, Michael P., et al.
Published: (2026)