Cover Image

EvoSelect: Data-Efficient LLM Evolution for Targeted Task Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Ting-Wei, Chen, Sirui, Zou, Jiaru, Huang, Yingbing, Wei, Tianxin, He, Jingrui, Tong, Hanghang
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
by: He, Xinrui, et al.
Published: (2024)

Heterogeneous Scientific Foundation Model Collaboration
by: Li, Zihao, et al.
Published: (2026)

Harnessing Consistency for Robust Test-Time LLM Ensemble
by: Zeng, Zhichen, et al.
Published: (2025)

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning
by: Zou, Jiaru, et al.
Published: (2025)

MLP Fusion: Towards Efficient Fine-tuning of Dense and Mixture-of-Experts Language Models
by: Ai, Mengting, et al.
Published: (2023)

Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
by: Bao, Wenxuan, et al.
Published: (2025)

Influence-Preserving Proxies for Gradient-Based Data Selection in LLM Fine-tuning
by: Chen, Sirui, et al.
Published: (2026)

Saffron-1: Safety Inference Scaling
by: Qiu, Ruizhong, et al.
Published: (2025)

FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation
by: He, Xinrui, et al.
Published: (2026)

RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking
by: Zou, Jiaru, et al.
Published: (2025)

MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains
by: Ning, Xuying, et al.
Published: (2026)

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
by: Wei, Tianxin, et al.
Published: (2025)

Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR
by: Xu, Haobo, et al.
Published: (2026)

Graph Data Selection for Domain Adaptation: A Model-Free Approach
by: Li, Ting-Wei, et al.
Published: (2025)

NIRVANA: Structured pruning reimagined for large language models compression
by: Ai, Mengting, et al.
Published: (2025)

Panda: Test-Time Adaptation with Negative Data Augmentation
by: Deng, Ruxi, et al.
Published: (2025)

Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
by: Bei, Yuanchen, et al.
Published: (2026)

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence
by: Liu, Zhining, et al.
Published: (2025)

Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
by: Zou, Jiaru, et al.
Published: (2025)

Recursive Multi-Agent Systems
by: Yang, Xiyuan, et al.
Published: (2026)

PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs
by: Zhao, Yanjun, et al.
Published: (2026)

Latent Collaboration in Multi-Agent Systems
by: Zou, Jiaru, et al.
Published: (2025)

ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs
by: Zou, Jiaru, et al.
Published: (2025)

Geometric-disentangelment Unlearning
by: Zhou, Duo, et al.
Published: (2025)

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression
by: Huang, Wei, et al.
Published: (2025)

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
by: Liu, Zhining, et al.
Published: (2025)

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
by: Wang, Shaobo, et al.
Published: (2025)

D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning
by: Zhang, Ru, et al.
Published: (2026)

AlignEvoSkill: Towards Knowledge-Aware and Task-Aligned Agent Skill Evolution
by: Wang, Dingzirui, et al.
Published: (2025)

dLLM: Simple Diffusion Language Modeling
by: Zhou, Zhanhui, et al.
Published: (2026)

PageRank Bandits for Link Prediction
by: Ban, Yikun, et al.
Published: (2024)

WindowKV: Task-Adaptive Group-Wise KV Cache Window Selection for Efficient LLM Inference
by: Zuo, Youhui, et al.
Published: (2025)

Taming Knowledge Conflicts in Language Models
by: Li, Gaotang, et al.
Published: (2025)

EvoP: Robust LLM Inference via Evolutionary Pruning
by: Wu, Shangyu, et al.
Published: (2025)

TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
by: Sui, Yuan, et al.
Published: (2023)

Agentic Reasoning for Large Language Models
by: Wei, Tianxin, et al.
Published: (2026)

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
by: Bao, Wenxuan, et al.
Published: (2024)

AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs
by: Cui, Chengming, et al.
Published: (2026)

Subspace Alignment for Vision-Language Model Test-time Adaptation
by: Zeng, Zhichen, et al.
Published: (2026)

Distribution-Aligned Decoding for Efficient LLM Task Adaptation
by: Hu, Senkang, et al.
Published: (2025)