Saved in:
| Main Authors: | Liu, Hao, Yang, Xiao-Wen, Sehgal, Atharva, Wang, Yixin, Guo, Lan-Zhe, Li, Yu-Feng, Yue, Yisong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.03101 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Symbolic Regression with a Learned Concept Library
by: Grayeli, Arya, et al.
Published: (2024)
by: Grayeli, Arya, et al.
Published: (2024)
Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks
by: Shao, Jie-Jing, et al.
Published: (2026)
by: Shao, Jie-Jing, et al.
Published: (2026)
Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents
by: Xia, Fanzeng, et al.
Published: (2024)
by: Xia, Fanzeng, et al.
Published: (2024)
FormulaCode: Evaluating Agentic Optimization on Large Codebases
by: Sehgal, Atharva, et al.
Published: (2026)
by: Sehgal, Atharva, et al.
Published: (2026)
Offline Imitation Learning with Model-based Reverse Augmentation
by: Shao, Jie-Jing, et al.
Published: (2024)
by: Shao, Jie-Jing, 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)
by: Wen, Bin, et al.
Published: (2026)
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
by: Jia, Lin-Han, et al.
Published: (2025)
by: Jia, Lin-Han, et al.
Published: (2025)
Structure and Diversity Aware Context Bubble Construction for Enterprise Retrieval Augmented Systems
by: Khurshid, Amir, et al.
Published: (2026)
by: Khurshid, Amir, et al.
Published: (2026)
NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing
by: Yang, Ming, et al.
Published: (2026)
by: Yang, Ming, et al.
Published: (2026)
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
by: Yang, Xiao-Wen, et al.
Published: (2025)
by: Yang, Xiao-Wen, et al.
Published: (2025)
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning
by: Li, Yanjie, et al.
Published: (2024)
by: Li, Yanjie, et al.
Published: (2024)
Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation
by: Shao, Jie-Jing, et al.
Published: (2024)
by: Shao, Jie-Jing, et al.
Published: (2024)
Hindsight Credit Assignment for Long-Horizon LLM Agents
by: Tan, Hui-Ze, et al.
Published: (2026)
by: Tan, Hui-Ze, et al.
Published: (2026)
Neurosymbolic Grounding for Compositional World Models
by: Sehgal, Atharva, et al.
Published: (2023)
by: Sehgal, Atharva, et al.
Published: (2023)
Vision-Language Model Selection and Reuse for Downstream Adaptation
by: Tan, Hao-Zhe, et al.
Published: (2025)
by: Tan, Hao-Zhe, et al.
Published: (2025)
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
by: Wu, Min, et al.
Published: (2024)
by: Wu, Min, et al.
Published: (2024)
ReaComp: Compiling LLM Reasoning into Symbolic Solvers for Efficient Program Synthesis
by: Naik, Atharva, et al.
Published: (2026)
by: Naik, Atharva, et al.
Published: (2026)
NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation
by: Wu, Weiming, et al.
Published: (2025)
by: Wu, Weiming, et al.
Published: (2025)
TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning
by: Jiang, Chuang, et al.
Published: (2025)
by: Jiang, Chuang, et al.
Published: (2025)
LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM
by: Zhou, Zhi, et al.
Published: (2025)
by: Zhou, Zhi, et al.
Published: (2025)
VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection
by: Tang, Wenxin, et al.
Published: (2026)
by: Tang, Wenxin, et al.
Published: (2026)
LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression
by: Zhang, Hengzhe, et al.
Published: (2025)
by: Zhang, Hengzhe, 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)
by: Wang, Guoan, et al.
Published: (2026)
Fully Test-time Adaptation for Tabular Data
by: Zhou, Zhi, et al.
Published: (2024)
by: Zhou, Zhi, et al.
Published: (2024)
Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization
by: Xuefei, et al.
Published: (2025)
by: Xuefei, et al.
Published: (2025)
Operator Feature Neural Network for Symbolic Regression
by: Deng, Yusong, et al.
Published: (2024)
by: Deng, Yusong, et al.
Published: (2024)
Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music
by: Su, Hongju, et al.
Published: (2025)
by: Su, Hongju, et al.
Published: (2025)
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review
by: Chen, Yisong, et al.
Published: (2025)
by: Chen, Yisong, et al.
Published: (2025)
In Context Learning and Reasoning for Symbolic Regression with Large Language Models
by: Sharlin, Samiha, et al.
Published: (2024)
by: Sharlin, Samiha, et al.
Published: (2024)
In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks
by: Sovrano, Francesco, et al.
Published: (2026)
by: Sovrano, Francesco, et al.
Published: (2026)
Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learning
by: Zhang, Jia, et al.
Published: (2024)
by: Zhang, Jia, et al.
Published: (2024)
DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning
by: Liu, Jingyi, et al.
Published: (2024)
by: Liu, Jingyi, et al.
Published: (2024)
Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery
by: Xiao, Jing, et al.
Published: (2026)
by: Xiao, Jing, et al.
Published: (2026)
Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models
by: Yang, Xiao-Wen, et al.
Published: (2026)
by: Yang, Xiao-Wen, et al.
Published: (2026)
Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training
by: You, Hong-Jie, et al.
Published: (2025)
by: You, Hong-Jie, et al.
Published: (2025)
LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
by: Zhou, Zhi, et al.
Published: (2024)
by: Zhou, Zhi, et al.
Published: (2024)
Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
by: Carvalho, Tales H., et al.
Published: (2024)
by: Carvalho, Tales H., et al.
Published: (2024)
MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task
by: Li, Yanjie, et al.
Published: (2024)
by: Li, Yanjie, et al.
Published: (2024)
ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising
by: Wang, Ruizhi, et al.
Published: (2024)
by: Wang, Ruizhi, et al.
Published: (2024)
A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning
by: Zhou, Zhi, et al.
Published: (2025)
by: Zhou, Zhi, et al.
Published: (2025)
Similar Items
-
Symbolic Regression with a Learned Concept Library
by: Grayeli, Arya, et al.
Published: (2024) -
Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks
by: Shao, Jie-Jing, et al.
Published: (2026) -
Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents
by: Xia, Fanzeng, et al.
Published: (2024) -
FormulaCode: Evaluating Agentic Optimization on Large Codebases
by: Sehgal, Atharva, et al.
Published: (2026) -
Offline Imitation Learning with Model-based Reverse Augmentation
by: Shao, Jie-Jing, et al.
Published: (2024)