Image de couverture de livre

In Context Learning and Reasoning for Symbolic Regression with Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sharlin, Samiha, Josephson, Tyler R.
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
par: Yang, Yukang, et autres
Publié: (2025)

Can Large Language Models Act as Symbolic Reasoners?
par: Sullivan, Rob, et autres
Publié: (2024)

Improving Symbolic Translation of Language Models for Logical Reasoning
par: Thatikonda, Ramya Keerthy, et autres
Publié: (2026)

How Large Language Models Need Symbolism
par: Deng, Xiaotie, et autres
Publié: (2025)

Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models
par: Nafar, Aliakbar, et autres
Publié: (2024)

Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning
par: Abbas, Momin, et autres
Publié: (2024)

Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models
par: Xu, Fangzhi, et autres
Publié: (2023)

ToM-LM: Delegating Theory of Mind Reasoning to External Symbolic Executors in Large Language Models
par: Tang, Weizhi, et autres
Publié: (2024)

UNLEARN Efficient Removal of Knowledge in Large Language Models
par: Lizzo, Tyler, et autres
Publié: (2024)

InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
par: Yan, Yuchen, et autres
Publié: (2025)

EconCausal: A Context-Aware Economic Reasoning Benchmark for Large Language Models
par: Lee, Donggyu, et autres
Publié: (2025)

Instruction Set and Language for Symbolic Regression
par: Lopez-Rubio, Ezequiel, et autres
Publié: (2026)

Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models
par: Petruzzellis, Flavio, et autres
Publié: (2024)

Quantile Regression with Large Language Models for Price Prediction
par: Vedula, Nikhita, et autres
Publié: (2025)

NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
par: Liang, Feng, et autres
Publié: (2025)

G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models
par: Xu, Xun
Publié: (2026)

SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding
par: Zhao, Runcong, et autres
Publié: (2025)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
par: Hua, Wenyue, et autres
Publié: (2024)

CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
par: Zhao, Yang, et autres
Publié: (2025)

Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
par: Hu, Mengkang, et autres
Publié: (2025)

Large Language Models are In-Context Molecule Learners
par: Li, Jiatong, et autres
Publié: (2024)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
par: Xu, Fengli, et autres
Publié: (2025)

ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context
par: Kim, Joongwon, et autres
Publié: (2025)

Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning
par: Wang, Xiao, et autres
Publié: (2024)

Large Language Models Are Neurosymbolic Reasoners
par: Fang, Meng, et autres
Publié: (2024)

Large Language Models are Contrastive Reasoners
par: Yao, Liang
Publié: (2024)

Code-Switching In-Context Learning for Cross-Lingual Transfer of Large Language Models
par: Yoo, Haneul, et autres
Publié: (2025)

Who Reasons in the Large Language Models?
par: Shao, Jie, et autres
Publié: (2025)

Agentic Reasoning for Large Language Models
par: Wei, Tianxin, et autres
Publié: (2026)

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
par: Wang, Jingyuan, et autres
Publié: (2025)

Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
par: Yan, Shaotian, et autres
Publié: (2025)

Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning
par: Niu, Jingcheng, et autres
Publié: (2025)

Beyond Symbolic Solving: Multi Chain-of-Thought Voting for Geometric Reasoning in Large Language Models
par: Siddique, Md. Abu Bakor, et autres
Publié: (2026)

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
par: Luo, Linhao, et autres
Publié: (2023)

Context-level Language Modeling by Learning Predictive Context Embeddings
par: Dai, Beiya, et autres
Publié: (2025)

PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
par: Choi, Hyeong Kyu, et autres
Publié: (2024)

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models
par: Wen, Xumeng, et autres
Publié: (2025)

The Role of Diversity in In-Context Learning for Large Language Models
par: Xiao, Wenyang, et autres
Publié: (2025)

From Symbolic to Natural-Language Relations: Rethinking Knowledge Graph Construction in the Era of Large Language Models
par: Han, Kanyao, et autres
Publié: (2026)

ReAD: Reinforcement-Guided Capability Distillation for Large Language Models
par: Cheng, Xueqi, et autres
Publié: (2026)