Cover Image

Programmatic Context Augmentation for LLM-based Symbolic Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Hao, Yang, Xiao-Wen, Sehgal, Atharva, Wang, Yixin, Guo, Lan-Zhe, Li, Yu-Feng, Yue, Yisong
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks
by: Shao, Jie-Jing, et al.
Published: (2026)

Symbolic Regression with a Learned Concept Library
by: Grayeli, Arya, et al.
Published: (2024)

Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents
by: Xia, Fanzeng, et al.
Published: (2024)

Aligning Progress and Feasibility: A Neuro-Symbolic Dual Memory Framework for Long-Horizon LLM Agents
by: Wen, Bin, et al.
Published: (2026)

Offline Imitation Learning with Model-based Reverse Augmentation
by: Shao, Jie-Jing, et al.
Published: (2024)

Structure and Diversity Aware Context Bubble Construction for Enterprise Retrieval Augmented Systems
by: Khurshid, Amir, et al.
Published: (2026)

Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
by: Jia, Lin-Han, et al.
Published: (2025)

FormulaCode: Evaluating Agentic Optimization on Large Codebases
by: Sehgal, Atharva, et al.
Published: (2026)

NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing
by: Yang, Ming, et al.
Published: (2026)

Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning
by: Li, Yanjie, et al.
Published: (2024)

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
by: Yang, Xiao-Wen, et al.
Published: (2025)

Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation
by: Shao, Jie-Jing, et al.
Published: (2024)

PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
by: Wu, Min, et al.
Published: (2024)

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning
by: Jiang, Chuang, et al.
Published: (2025)

Hindsight Credit Assignment for Long-Horizon LLM Agents
by: Tan, Hui-Ze, et al.
Published: (2026)

Vision-Language Model Selection and Reuse for Downstream Adaptation
by: Tan, Hao-Zhe, et al.
Published: (2025)

ReaComp: Compiling LLM Reasoning into Symbolic Solvers for Efficient Program Synthesis
by: Naik, Atharva, et al.
Published: (2026)

VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection
by: Tang, Wenxin, et al.
Published: (2026)

Neurosymbolic Grounding for Compositional World Models
by: Sehgal, Atharva, et al.
Published: (2023)

NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation
by: Wu, Weiming, et al.
Published: (2025)

NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines
by: Wang, Guoan, et al.
Published: (2026)

LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression
by: Zhang, Hengzhe, et al.
Published: (2025)

LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM
by: Zhou, Zhi, et al.
Published: (2025)

Operator Feature Neural Network for Symbolic Regression
by: Deng, Yusong, et al.
Published: (2024)

In Context Learning and Reasoning for Symbolic Regression with Large Language Models
by: Sharlin, Samiha, et al.
Published: (2024)

In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks
by: Sovrano, Francesco, et al.
Published: (2026)

DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning
by: Liu, Jingyi, et al.
Published: (2024)

Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music
by: Su, Hongju, et al.
Published: (2025)

Fully Test-time Adaptation for Tabular Data
by: Zhou, Zhi, et al.
Published: (2024)

Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery
by: Xiao, Jing, et al.
Published: (2026)

ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising
by: Wang, Ruizhi, et al.
Published: (2024)

Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learning
by: Zhang, Jia, et al.
Published: (2024)

Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
by: Carvalho, Tales H., et al.
Published: (2024)

PRISM: A Benchmark for Programmatic Spatial-Temporal Reasoning
by: Zhang, Qiran, et al.
Published: (2026)

MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task
by: Li, Yanjie, et al.
Published: (2024)

InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation
by: Chen, Qiaosheng, et al.
Published: (2025)

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing
by: Li, Yanjie, et al.
Published: (2026)

BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair
by: Pang, Xianghe, et al.
Published: (2025)

Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients
by: Bastiani, Zachary, et al.
Published: (2024)

A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning
by: Zhou, Zhi, et al.
Published: (2025)