Once Upon an Input: Reasoning via Per-Instance Program Synthesis
Fuente:
arXiv
Saved in:
| Main Authors: | Stein, Adam, Velingker, Neelay, Naik, Mayur, Wong, Eric |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models
by: Stein, Adam, et al.
Published: (2025)
by: Stein, Adam, et al.
Published: (2025)
Do We Need Frontier Models to Verify Mathematical Proofs?
by: Naik, Aaditya, et al.
Published: (2026)
by: Naik, Aaditya, et al.
Published: (2026)
Relational Programming with Foundation Models
by: Li, Ziyang, et al.
Published: (2024)
by: Li, Ziyang, et al.
Published: (2024)
Towards Compositionality in Concept Learning
by: Stein, Adam, et al.
Published: (2024)
by: Stein, Adam, et al.
Published: (2024)
ESCA: Contextualizing Embodied Agents via Scene-Graph Generation
by: Huang, Jiani, et al.
Published: (2025)
by: Huang, Jiani, et al.
Published: (2025)
Detecting Safety Violations Across Many Agent Traces
by: Stein, Adam, et al.
Published: (2026)
by: Stein, Adam, et al.
Published: (2026)
Instruction Following by Principled Boosting Attention of Large Language Models
by: Guardieiro, Vitoria, et al.
Published: (2025)
by: Guardieiro, Vitoria, et al.
Published: (2025)
Lobster: A GPU-Accelerated Framework for Neurosymbolic Programming
by: Biberstein, Paul, et al.
Published: (2025)
by: Biberstein, Paul, et al.
Published: (2025)
Data-Efficient Learning with Neural Programs
by: Solko-Breslin, Alaia, et al.
Published: (2024)
by: Solko-Breslin, Alaia, et al.
Published: (2024)
Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space
by: Li, Hengli, et al.
Published: (2025)
by: Li, Hengli, et al.
Published: (2025)
Delta Activations: A Representation for Finetuned Large Language Models
by: Xu, Zhiqiu, et al.
Published: (2025)
by: Xu, Zhiqiu, et al.
Published: (2025)
Multi-Step Reasoning with Large Language Models, a Survey
by: Plaat, Aske, et al.
Published: (2024)
by: Plaat, Aske, et al.
Published: (2024)
PerPO: Perceptual Preference Optimization via Discriminative Rewarding
by: Zhu, Zining, et al.
Published: (2025)
by: Zhu, Zining, et al.
Published: (2025)
CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
by: Wei, Anjiang, et al.
Published: (2025)
by: Wei, Anjiang, et al.
Published: (2025)
Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability
by: Naik, Ninad
Published: (2024)
by: Naik, Ninad
Published: (2024)
Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
by: Méloux, Maxime, et al.
Published: (2025)
by: Méloux, Maxime, et al.
Published: (2025)
Quokka: Accelerating Program Verification with LLMs via Invariant Synthesis
by: Wei, Anjiang, et al.
Published: (2025)
by: Wei, Anjiang, et al.
Published: (2025)
Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems
by: Chen, Justin Chih-Yao, et al.
Published: (2026)
by: Chen, Justin Chih-Yao, et al.
Published: (2026)
Competitive Programming with Large Reasoning Models
by: OpenAI, et al.
Published: (2025)
by: OpenAI, et al.
Published: (2025)
Finetune Once: Decoupling General & Domain Learning with Dynamic Boosted Annealing
by: Tang, Yang, et al.
Published: (2025)
by: Tang, Yang, et al.
Published: (2025)
Train Once, Answer All: Many Pretraining Experiments for the Cost of One
by: Bordt, Sebastian, et al.
Published: (2025)
by: Bordt, Sebastian, et al.
Published: (2025)
Input-Time Scaling: Adding Noise and Irrelevance into Less-Is-More Drastically Improves Reasoning Performance and Efficiency
by: Huang, Rapheal, et al.
Published: (2025)
by: Huang, Rapheal, et al.
Published: (2025)
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
by: Lieberum, Tom, et al.
Published: (2024)
by: Lieberum, Tom, et al.
Published: (2024)
Align Once, Benefit Multilingually: Enforcing Multilingual Consistency for LLM Safety Alignment
by: Bu, Yuyan, et al.
Published: (2026)
by: Bu, Yuyan, et al.
Published: (2026)
SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
by: Chen, Jiaqi, et al.
Published: (2025)
by: Chen, Jiaqi, et al.
Published: (2025)
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
by: Xiong, Zheyang, et al.
Published: (2024)
by: Xiong, Zheyang, et al.
Published: (2024)
SLR: Automated Synthesis for Scalable Logical Reasoning
by: Helff, Lukas, et al.
Published: (2025)
by: Helff, Lukas, et al.
Published: (2025)
FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline
by: Seegmiller, Parker, et al.
Published: (2025)
by: Seegmiller, Parker, et al.
Published: (2025)
Investigating the Transferability of Code Repair for Low-Resource Programming Languages
by: Wong, Kyle, et al.
Published: (2024)
by: Wong, Kyle, et al.
Published: (2024)
SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction
by: Dai, Lu, et al.
Published: (2025)
by: Dai, Lu, et al.
Published: (2025)
SP^2DPO: An LLM-assisted Semantic Per-Pair DPO Generalization
by: He, Chaoyue, et al.
Published: (2026)
by: He, Chaoyue, et al.
Published: (2026)
From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning
by: Xu, Xiaoyu, et al.
Published: (2026)
by: Xu, Xiaoyu, et al.
Published: (2026)
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus
by: Rocha, Filipe Marinho, et al.
Published: (2024)
by: Rocha, Filipe Marinho, et al.
Published: (2024)
Neural Task Synthesis for Visual Programming
by: Pădurean, Victor-Alexandru, et al.
Published: (2023)
by: Pădurean, Victor-Alexandru, et al.
Published: (2023)
Beyond the Training Distribution: Mapping Generalization Boundaries in Neural Program Synthesis
by: Voigt, Henrik, et al.
Published: (2026)
by: Voigt, Henrik, et al.
Published: (2026)
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning
by: Wang, Yiming, et al.
Published: (2024)
by: Wang, Yiming, et al.
Published: (2024)
Once Upon a Time: Interactive Learning for Storytelling with Small Language Models
by: Martins, Jonas Mayer, et al.
Published: (2025)
by: Martins, Jonas Mayer, et al.
Published: (2025)
ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
by: Yang, Ling, et al.
Published: (2025)
by: Yang, Ling, et al.
Published: (2025)
ExGRPO: Learning to Reason from Experience
by: Zhan, Runzhe, et al.
Published: (2025)
by: Zhan, Runzhe, et al.
Published: (2025)
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
by: Jung, Jaehun, et al.
Published: (2025)
by: Jung, Jaehun, et al.
Published: (2025)
Similar Items
-
The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models
by: Stein, Adam, et al.
Published: (2025) -
Do We Need Frontier Models to Verify Mathematical Proofs?
by: Naik, Aaditya, et al.
Published: (2026) -
Relational Programming with Foundation Models
by: Li, Ziyang, et al.
Published: (2024) -
Towards Compositionality in Concept Learning
by: Stein, Adam, et al.
Published: (2024) -
ESCA: Contextualizing Embodied Agents via Scene-Graph Generation
by: Huang, Jiani, et al.
Published: (2025)