:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Junlan, Zhang, Kexin, Li, Daifeng, Feng, Yangyang, Zhang, Yuxuan, Deng, Bowen
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2503.18865
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?
by: Zhang, Yuxuan, et al.
Published: (2025)

Two-way Evidence self-Alignment based Dual-Gated Reasoning Enhancement
by: Zhang, Kexin, et al.
Published: (2025)

NL2Dashboard: A Lightweight and Controllable Framework for Generating Dashboards with LLMs
by: Shi, Boshen, et al.
Published: (2026)

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

InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting
by: Chi, Ce, et al.
Published: (2024)

TusoAI: Agentic Optimization for Scientific Methods
by: Turcan, Alistair, et al.
Published: (2025)

JT-DA: Enhancing Data Analysis with Tool-Integrated Table Reasoning Large Language Models
by: Chi, Ce, et al.
Published: (2025)

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

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models
by: Li, Ce, et al.
Published: (2025)

AutoIE: An Automated Framework for Information Extraction from Scientific Literature
by: Liu, Yangyang, et al.
Published: (2024)

Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs
by: Li, Yu, et al.
Published: (2025)

The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence
by: Wei, Wilson, et al.
Published: (2025)

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator
by: Zhang, Haoxuan, et al.
Published: (2025)

Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
by: Zhang, Bowen, et al.
Published: (2024)

BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery
by: Qin, Yao, et al.
Published: (2026)

Self-Correction Distillation for Structured Data Question Answering
by: Zhu, Yushan, et al.
Published: (2025)

Tuning-free Instruction-based Video Editing Via Structural Noise Initialization and Guidance
by: Wu, Song, et al.
Published: (2026)

MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts
by: Wang, Qing, et al.
Published: (2025)

Innovator-VL: A Multimodal Large Language Model for Scientific Discovery
by: Wen, Zichen, et al.
Published: (2026)

AI-Researcher: Autonomous Scientific Innovation
by: Tang, Jiabin, et al.
Published: (2025)

Grounding LLMs in Scientific Discovery via Embodied Actions
by: Zhang, Bo, et al.
Published: (2026)

LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges?
by: He, Ziyuan, et al.
Published: (2025)

Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
by: Bayazit, Deniz, et al.
Published: (2023)

Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement
by: Xue, Zhikai, et al.
Published: (2023)

A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems
by: Yu, Xiangnan, et al.
Published: (2024)

Discovering Symmetry Groups with Flow Matching
by: Chen, Yuxuan, et al.
Published: (2025)

KISS - Knowledge Infrastructure for Scientific Simulation: A Scaffolding for Agentic Earth Science
by: Li, Ziwei, et al.
Published: (2026)

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference
by: Guo, Xiyu, et al.
Published: (2025)

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling
by: Liao, Ning, et al.
Published: (2025)

Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition
by: Xu, Ruizhuo, et al.
Published: (2024)

HuggingR$^{4}$: A Progressive Reasoning Framework for Discovering Optimal Model Companions
by: Ma, Shaoyin, et al.
Published: (2025)

An Agentic Evaluation Framework for AI-Generated Scientific Code in PETSc
by: Zhang, Hong, et al.
Published: (2026)

MC-DBN: A Deep Belief Network-Based Model for Modality Completion
by: Luo, Zihong, et al.
Published: (2024)

Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning
by: Zhang, Bowen, et al.
Published: (2024)

Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video Recognition
by: Wang, Yulin, et al.
Published: (2024)

Strategy-Aware Optimization Modeling with Reasoning LLMs
by: Zhao, Ruiqing, et al.
Published: (2026)

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
by: Zhang, Zeliang, et al.
Published: (2024)

Spatiotemporal Prediction of Secondary Crashes by Rebalancing Dynamic and Static Data with Generative Adversarial Networks
by: Chen, Junlan, et al.
Published: (2025)

Inverse Knowledge Search over Verifiable Reasoning: Synthesizing a Scientific Encyclopedia from a Long Chains-of-Thought Knowledge Base
by: Li, Yu, et al.
Published: (2025)

Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond
by: Fan, Joshua, et al.
Published: (2025)