Cover Image

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	She, Fengyu, Wang, Nan, Wu, Hongfei, Wan, Ziyi, Wang, Jingmian, Wang, Chang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM
by: Li, Pengjiang, et al.
Published: (2025)

SciDaSynth: Interactive Structured Data Extraction from Scientific Literature with Large Language Model
by: Wang, Xingbo, et al.
Published: (2024)

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models
by: Feng, Kehua, et al.
Published: (2024)

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
by: Zhang, Yu, et al.
Published: (2024)

From Tokens to Materials: Leveraging Language Models for Scientific Discovery
by: Wan, Yuwei, et al.
Published: (2024)

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
by: Li, Sihang, et al.
Published: (2024)

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis
by: Cai, Hengxing, et al.
Published: (2024)

SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models
by: Yu, Jing, et al.
Published: (2025)

Instruct Large Language Models to Generate Scientific Literature Survey Step by Step
by: Lai, Yuxuan, et al.
Published: (2024)

PclGPT: A Large Language Model for Patronizing and Condescending Language Detection
by: Wang, Hongbo, et al.
Published: (2024)

From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
by: Zheng, Tianshi, et al.
Published: (2025)

SciPaths: Forecasting Pathways to Scientific Discovery
by: Chamoun, Eric, et al.
Published: (2026)

WildSci: Advancing Scientific Reasoning from In-the-Wild Literature
by: Liu, Tengxiao, et al.
Published: (2026)

ChatSR: Multimodal Large Language Models for Scientific Formula Discovery
by: Li, Yanjie, et al.
Published: (2024)

Knowledge Boundary Discovery for Large Language Models
by: Wang, Ziquan, et al.
Published: (2026)

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
by: Gu, Yiyang, et al.
Published: (2026)

Functional Abstraction of Knowledge Recall in Large Language Models
by: Wang, Zijian, et al.
Published: (2025)

SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research
by: Qiao, Shuofei, et al.
Published: (2026)

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
by: Wadden, David, et al.
Published: (2024)

Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models
by: Cheng, Sitao, et al.
Published: (2024)

MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding
by: Jiang, Mohan, et al.
Published: (2025)

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
by: Wang, Xiaoxuan, et al.
Published: (2023)

SciAgent: Tool-augmented Language Models for Scientific Reasoning
by: Ma, Yubo, et al.
Published: (2024)

Distilling Implicit Multimodal Knowledge into Large Language Models for Zero-Resource Dialogue Generation
by: Zhang, Bo, et al.
Published: (2024)

SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks
by: Zhao, Yilun, et al.
Published: (2025)

SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research
by: Sun, Liangtai, et al.
Published: (2023)

Detecting Reference Errors in Scientific Literature with Large Language Models
by: Zhang, Tianmai M., et al.
Published: (2024)

Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education
by: Yang, Rui, et al.
Published: (2024)

SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks
by: Li, Tianhao, et al.
Published: (2024)

IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
by: You, Haoxuan, et al.
Published: (2023)

IntentGPT: Few-shot Intent Discovery with Large Language Models
by: Rodriguez, Juan A., et al.
Published: (2024)

Knowledge Distillation for Temporal Knowledge Graph Reasoning with Large Language Models
by: Xing, Wang, et al.
Published: (2026)

SciDA: Scientific Dynamic Assessor of LLMs
by: Zhou, Junting, et al.
Published: (2025)

GAPMAP: Mapping Scientific Knowledge Gaps in Biomedical Literature Using Large Language Models
by: Salem, Nourah M, et al.
Published: (2025)

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models
by: Wang, Yike, et al.
Published: (2025)

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification
by: Wang, Chengye, et al.
Published: (2025)

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity
by: Xie, Tong, et al.
Published: (2024)

SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
by: Qin, Chuan, et al.
Published: (2025)

SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models
by: Zhang, Dan, et al.
Published: (2024)

CourseGPT-zh: an Educational Large Language Model Based on Knowledge Distillation Incorporating Prompt Optimization
by: Qu, Zheyan, et al.
Published: (2024)