Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving
Fuente:
arXiv
Saved in:
| Main Authors: | Zimmer, Matthieu, Ji, Xiaotong, Tutunov, Rasul, Bordg, Anthony, Wang, Jun, Ammar, Haitham Bou |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers
by: Ji, Xiaotong, et al.
Published: (2026)
by: Ji, Xiaotong, et al.
Published: (2026)
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
by: Ji, Xiaotong, et al.
Published: (2026)
by: Ji, Xiaotong, et al.
Published: (2026)
The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling
by: Nguyen, Tu, et al.
Published: (2026)
by: Nguyen, Tu, et al.
Published: (2026)
The $\mathbf{Y}$-Combinator for LLMs: Solving Long-Context Rot with $λ$-Calculus
by: Roy, Amartya, et al.
Published: (2026)
by: Roy, Amartya, et al.
Published: (2026)
Risk-Controlled Lean-as-Judge for Natural-Language Mathematical Reasoning
by: Bourigault, Pauline, et al.
Published: (2026)
by: Bourigault, Pauline, et al.
Published: (2026)
Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective
by: Zimmer, Matthieu, et al.
Published: (2025)
by: Zimmer, Matthieu, et al.
Published: (2025)
Mixture of Attentions For Speculative Decoding
by: Zimmer, Matthieu, et al.
Published: (2024)
by: Zimmer, Matthieu, et al.
Published: (2024)
Multi-Task GRPO: Reliable LLM Reasoning Across Tasks
by: Ramesh, Shyam Sundhar, et al.
Published: (2026)
by: Ramesh, Shyam Sundhar, et al.
Published: (2026)
Model-Based and Sample-Efficient AI-Assisted Math Discovery in Sphere Packing
by: Tutunov, Rasul, et al.
Published: (2025)
by: Tutunov, Rasul, et al.
Published: (2025)
Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning
by: Oomerjee, Adnan, et al.
Published: (2025)
by: Oomerjee, Adnan, et al.
Published: (2025)
On Almost Surely Safe Alignment of Large Language Models at Inference-Time
by: Ji, Xiaotong, et al.
Published: (2025)
by: Ji, Xiaotong, et al.
Published: (2025)
SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks
by: Christopoulou, Fenia, et al.
Published: (2024)
by: Christopoulou, Fenia, et al.
Published: (2024)
Why the Brain Consolidates: Predictive Forgetting for Optimal Generalisation
by: Fountas, Zafeirios, et al.
Published: (2026)
by: Fountas, Zafeirios, et al.
Published: (2026)
Subjective Depth and Timescale Transformers: Learning Where and When to Compute
by: Wieser, Frederico, et al.
Published: (2025)
by: Wieser, Frederico, et al.
Published: (2025)
Untangling Component Imbalance in Hybrid Linear Attention Conversion Methods
by: Benfeghoul, Martin, et al.
Published: (2025)
by: Benfeghoul, Martin, et al.
Published: (2025)
Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information
by: Tutnov, Rasul, et al.
Published: (2025)
by: Tutnov, Rasul, et al.
Published: (2025)
GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving
by: Wang, Ruida, et al.
Published: (2025)
by: Wang, Ruida, et al.
Published: (2025)
SuRe: Surprise-Driven Prioritised Replay for Continual LLM Learning
by: Hazard, Hugo, et al.
Published: (2025)
by: Hazard, Hugo, et al.
Published: (2025)
Why Can Large Language Models Generate Correct Chain-of-Thoughts?
by: Tutunov, Rasul, et al.
Published: (2023)
by: Tutunov, Rasul, et al.
Published: (2023)
Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates
by: Diwan, Anish, et al.
Published: (2026)
by: Diwan, Anish, et al.
Published: (2026)
Learning to Reason with Insight for Informal Theorem Proving
by: Li, Yunhe, et al.
Published: (2026)
by: Li, Yunhe, et al.
Published: (2026)
Steering LLMs for Formal Theorem Proving
by: Kirtania, Shashank, et al.
Published: (2025)
by: Kirtania, Shashank, et al.
Published: (2025)
Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
by: Lin, Yong, et al.
Published: (2025)
by: Lin, Yong, et al.
Published: (2025)
The Topological Dual of a Dataset: A Logic-to-Topology Encoding for AlphaGeometry-Style Data
by: Bordg, Anthony
Published: (2026)
by: Bordg, Anthony
Published: (2026)
STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
by: Dong, Kefan, et al.
Published: (2025)
by: Dong, Kefan, et al.
Published: (2025)
Human-inspired Episodic Memory for Infinite Context LLMs
by: Fountas, Zafeirios, et al.
Published: (2024)
by: Fountas, Zafeirios, et al.
Published: (2024)
Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving
by: Lin, Yong, et al.
Published: (2025)
by: Lin, Yong, et al.
Published: (2025)
miniCTX: Neural Theorem Proving with (Long-)Contexts
by: Hu, Jiewen, et al.
Published: (2024)
by: Hu, Jiewen, et al.
Published: (2024)
What are the Right Symmetries for Formal Theorem Proving?
by: Olejniczak, Krzysztof, et al.
Published: (2026)
by: Olejniczak, Krzysztof, et al.
Published: (2026)
OptProver: Bridging Olympiad and Optimization through Continual Training in Formal Theorem Proving
by: Li, Chenyi, et al.
Published: (2026)
by: Li, Chenyi, et al.
Published: (2026)
CuDIP: Enhancing Theorem Proving in LLMs via Curriculum Learning-based Direct Preference Optimization
by: Shi, Shuming, et al.
Published: (2025)
by: Shi, Shuming, et al.
Published: (2025)
BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
by: Petrov, Ivo, et al.
Published: (2025)
by: Petrov, Ivo, et al.
Published: (2025)
A General Method for Proving Networks Universal Approximation Property
by: Wang, Wei
Published: (2025)
by: Wang, Wei
Published: (2025)
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
by: Lamont, Sean, et al.
Published: (2024)
by: Lamont, Sean, et al.
Published: (2024)
LeanAgent: Lifelong Learning for Formal Theorem Proving
by: Kumarappan, Adarsh, et al.
Published: (2024)
by: Kumarappan, Adarsh, et al.
Published: (2024)
ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis
by: Liu, Haoxiong, et al.
Published: (2025)
by: Liu, Haoxiong, et al.
Published: (2025)
QED-Nano: Teaching a Tiny Model to Prove Hard Theorems
by: LM-Provers, et al.
Published: (2026)
by: LM-Provers, et al.
Published: (2026)
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving
by: Lin, Xiaohan, et al.
Published: (2024)
by: Lin, Xiaohan, et al.
Published: (2024)
An In-Context Learning Agent for Formal Theorem-Proving
by: Thakur, Amitayush, et al.
Published: (2023)
by: Thakur, Amitayush, et al.
Published: (2023)
Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
by: Nimonkar, Chirayu, et al.
Published: (2025)
by: Nimonkar, Chirayu, et al.
Published: (2025)
Similar Items
-
Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers
by: Ji, Xiaotong, et al.
Published: (2026) -
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
by: Ji, Xiaotong, et al.
Published: (2026) -
The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling
by: Nguyen, Tu, et al.
Published: (2026) -
The $\mathbf{Y}$-Combinator for LLMs: Solving Long-Context Rot with $λ$-Calculus
by: Roy, Amartya, et al.
Published: (2026) -
Risk-Controlled Lean-as-Judge for Natural-Language Mathematical Reasoning
by: Bourigault, Pauline, et al.
Published: (2026)