Copertina

Cognitive Alpha Mining via LLM-Driven Code-Based Evolution

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Fengyuan, Huang, Yi, Luo, Sichun, Wang, Yuqi, Yang, Yazheng, Li, Xinye, Hu, Zefa, Feng, Junlan, Liu, Qi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ClarifyMT-Bench: Benchmarking and Improving Multi-Turn Clarification for Conversational Large Language Models
di: Luo, Sichun, et al.
Pubblicazione: (2025)

SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolution
di: Luo, Sichun, et al.
Pubblicazione: (2026)

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science
di: Yang, Yazheng, et al.
Pubblicazione: (2023)

Improving Long Text Understanding with Knowledge Distilled from Summarization Model
di: Liu, Yan, et al.
Pubblicazione: (2024)

ExPosST: Explicit Positioning with Adaptive Masking for LLM-Based Simultaneous Machine Translation
di: Shang, Yuzhe, et al.
Pubblicazione: (2026)

QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
di: Han, Jun, et al.
Pubblicazione: (2026)

Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems
di: Cai, Yucheng, et al.
Pubblicazione: (2025)

Controlled Self-Evolution for Algorithmic Code Optimization
di: Hu, Tu, et al.
Pubblicazione: (2026)

Elastic CRFs for Open-ontology Slot Filling
di: Dai, Yinpei, et al.
Pubblicazione: (2018)

Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems
di: Cai, Yucheng, et al.
Pubblicazione: (2025)

Palette of Language Models: A Solver for Controlled Text Generation
di: Yang, Zhe, et al.
Pubblicazione: (2025)

A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction
di: Hu, Zefa, et al.
Pubblicazione: (2023)

Rationale-guided Prompting for Knowledge-based Visual Question Answering
di: Hu, Zhongjian, et al.
Pubblicazione: (2024)

Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
di: Wang, Saizhuo, et al.
Pubblicazione: (2023)

Showing LLM-Generated Code Selectively Based on Confidence of LLMs
di: Li, Jia, et al.
Pubblicazione: (2024)

Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification
di: Hao, Yaqian, et al.
Pubblicazione: (2024)

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning
di: Li, Xinye, et al.
Pubblicazione: (2025)

AlphaToken: Decoupling Adaptation and Stability for Path-Aware Response Token Valuation in LLM Post-Training
di: Qing, Liu, et al.
Pubblicazione: (2026)

Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
di: Hu, Peng, et al.
Pubblicazione: (2024)

CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution
di: Yang, Shidong, et al.
Pubblicazione: (2026)

LLM4Decompile: Decompiling Binary Code with Large Language Models
di: Tan, Hanzhuo, et al.
Pubblicazione: (2024)

An LLM-Based System for Argument Mining
di: Pirozelli, Paulo, et al.
Pubblicazione: (2026)

Issue Localization via LLM-Driven Iterative Code Graph Searching
di: Jiang, Zhonghao, et al.
Pubblicazione: (2025)

Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery
di: Yao, Yuxuan, et al.
Pubblicazione: (2024)

Enhancing LLM's Cognition via Structurization
di: Liu, Kai, et al.
Pubblicazione: (2024)

HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns
di: Wang, Xintao, et al.
Pubblicazione: (2026)

A Principle-Driven Adaptive Policy for Group Cognitive Stimulation Dialogue for Elderly with Cognitive Impairment
di: Jiang, Jiyue, et al.
Pubblicazione: (2026)

AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay
di: Tang, Ziyi, et al.
Pubblicazione: (2025)

MOSS: Enabling Code-Driven Evolution and Context Management for AI Agents
di: Zhu, Ming, et al.
Pubblicazione: (2024)

Self-Improving Multilingual Long Reasoning via Translation-Reasoning Integrated Training
di: Liu, Junxiao, et al.
Pubblicazione: (2026)

Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses
di: Lin, Jiahang, et al.
Pubblicazione: (2026)

Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training
di: Wang, Zhijun, et al.
Pubblicazione: (2025)

SemShareKV: Efficient KVCache Sharing for Semantically Similar Prompts via Token-Level LSH Matching
di: Zhao, Xinye, et al.
Pubblicazione: (2025)

The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)
di: Cai, Yucheng, et al.
Pubblicazione: (2024)

Towards Fine-Grained Code-Switch Speech Translation with Semantic Space Alignment
di: Gao, Yan, et al.
Pubblicazione: (2025)

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering
di: Fang, Yi, et al.
Pubblicazione: (2026)

From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM
di: Liu, Jianyu, et al.
Pubblicazione: (2025)

Cross-Linguistic Persona-Driven Data Synthesis for Robust Multimodal Cognitive Decline Detection
di: Feng, Rui, et al.
Pubblicazione: (2026)

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner
di: Yao, Yuxuan, et al.
Pubblicazione: (2024)

Align to the Pivot: Dual Alignment with Self-Feedback for Multilingual Math Reasoning
di: Zhao, Chunxu, et al.
Pubblicazione: (2026)