Cover Image

Agentic Reasoning for Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wei, Tianxin, Li, Ting-Wei, Liu, Zhining, Ning, Xuying, Yang, Ze, Zou, Jiaru, Zeng, Zhichen, Qiu, Ruizhong, Lin, Xiao, Fu, Dongqi, Li, Zihao, Ai, Mengting, Zhou, Duo, Bao, Wenxuan, Li, Yunzhe, Li, Gaotang, Qian, Cheng, Wang, Yu, Tang, Xiangru, Xiao, Yin, Fang, Liri, Liu, Hui, Tang, Xianfeng, Zhang, Yuji, Wang, Chi, You, Jiaxuan, Ji, Heng, Tong, Hanghang, He, Jingrui
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification
by: Lin, Xiao, et al.
Published: (2026)

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

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

BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
by: Lin, Xiao, et al.
Published: (2024)

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
by: Liu, Zhining, et al.
Published: (2025)

Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs
by: Qiu, Ruizhong, et al.
Published: (2025)

Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning
by: Qiu, Ruizhong, et al.
Published: (2026)

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

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

TSAQA: Time Series Analysis Question And Answering Benchmark
by: Jing, Baoyu, et al.
Published: (2026)

CATS: Mitigating Correlation Shift for Multivariate Time Series Classification
by: Lin, Xiao, et al.
Published: (2025)

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

Flow Matching Meets Biology and Life Science: A Survey
by: Li, Zihao, et al.
Published: (2025)

PyG-SSL: A Graph Self-Supervised Learning Toolkit
by: Zheng, Lecheng, et al.
Published: (2024)

Graph4MM: Weaving Multimodal Learning with Structural Information
by: Ning, Xuying, et al.
Published: (2025)

What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs
by: Fu, Dongqi, et al.
Published: (2024)

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

ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration
by: Ai, Mengting, et al.
Published: (2025)

WAPITI: A Watermark for Finetuned Open-Source LLMs
by: Chen, Lingjie, et al.
Published: (2024)

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

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

MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models
by: Lin, Xiao, et al.
Published: (2025)

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

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

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

EvoSelect: Data-Efficient LLM Evolution for Targeted Task Adaptation
by: Li, Ting-Wei, et al.
Published: (2026)

AIM: Attributing, Interpreting, Mitigating Data Unfairness
by: Liu, Zhining, et al.
Published: (2024)

Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
by: Zeng, Zhichen, et al.
Published: (2025)

Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
by: Li, Zihao, et al.
Published: (2025)

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

ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method
by: Fu, Dongqi, et al.
Published: (2025)

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

Hierarchical LoRA MoE for Efficient CTR Model Scaling
by: Zeng, Zhichen, et al.
Published: (2025)

Meta Clustering of Neural Bandits
by: Ban, Yikun, et al.
Published: (2024)

Class-Imbalanced Graph Learning without Class Rebalancing
by: Liu, Zhining, et al.
Published: (2023)

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

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

Code as Agent Harness
by: Ning, Xuying, et al.
Published: (2026)