Cover Image

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Tong, Zhang, Hanzhi, Wang, Shaozhou, Wan, Yuwei, Razzak, Imran, Kit, Chunyu, Zhang, Wenjie, Hoex, Bram
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
by: Ye, Yanpeng, et al.
Published: (2024)

SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation
by: Wan, Yuwei, et al.
Published: (2024)

DARWIN 1.5: Large Language Models as Materials Science Adapted Learners
by: Xie, Tong, et al.
Published: (2024)

DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search
by: Yang, Zerui, et al.
Published: (2025)

A collaborative framework for unifying typical multidimensional solar cell simulations – Part I. Ten common simulation steps and representing variables
by: Fa‐Jun Ma, et al.
Published: (2024)

MiST: Understanding the Role of Mid-Stage Scientific Training in Developing Chemical Reasoning Models
by: Bran, Andres M, et al.
Published: (2025)

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning
by: Ye, Ziang, et al.
Published: (2024)

Evaluate Summarization in Fine-Granularity: Auto Evaluation with LLM
by: Yuan, Dong, et al.
Published: (2024)

ssToken: Self-modulated and Semantic-aware Token Selection for LLM Fine-tuning
by: Qin, Xiaohan, et al.
Published: (2025)

Token-level Data Selection for Safe LLM Fine-tuning
by: Li, Yanping, et al.
Published: (2026)

Retinal Lipidomics Associations as Candidate Biomarkers for Cardiovascular Health
by: Inamullah, et al.
Published: (2025)

The Eye as a Window to Systemic Health: A Survey of Retinal Imaging from Classical Techniques to Oculomics
by: Inamullah, et al.
Published: (2025)

Preference-grounded Token-level Guidance for Language Model Fine-tuning
by: Yang, Shentao, et al.
Published: (2023)

Fine-tuning ORBGRAND with Very Few Channel Soft Values
by: Wan, Li, et al.
Published: (2025)

SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia
by: Lu, Zhixiang, et al.
Published: (2026)

TuLaBM: Tumor-Biased Latent Bridge Matching for Contrast-Enhanced MRI Synthesis
by: Rege, Atharva, et al.
Published: (2026)

FourierKAN outperforms MLP on Text Classification Head Fine-tuning
by: Imran, Abdullah Al, et al.
Published: (2024)

TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law
by: Xuan, Xi, et al.
Published: (2025)

LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning
by: Wang, Tuowei, et al.
Published: (2025)

Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection
by: Shen, Lingzhi, et al.
Published: (2025)

AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
by: Xiong, Lei, et al.
Published: (2026)

Metric-Based Granular Computing in Networks
by: Arshad, Hibba, et al.
Published: (2025)

$\texttt{MixGR}$: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity
by: Cai, Fengyu, et al.
Published: (2024)

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

Constraint on gravitational-wave polarizations for space-based detectors with time-delay interferometry
by: Jiang, Tong, et al.
Published: (2025)

SAM-DCE: Addressing Token Uniformity and Semantic Over-Smoothing in Medical Segmentation
by: Hu, Yingzhen, et al.
Published: (2025)

Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets
by: Yang, Yuchen, et al.
Published: (2026)

What price to pay? Auto-tuning a building MPC controller for optimal economic cost
by: Yu, Jiarui, et al.
Published: (2025)

Higher‐Efficiency TOPCon Solar Cells in Mass Production Enabled by Laser‐Assisted Firing: Advanced Loss Analysis and Near‐Term Efficiency Potential
by: Xutao Wang, et al.
Published: (2025)

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
by: Zhang, Haode, et al.
Published: (2022)

ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer
by: Deng, Chunyuan, et al.
Published: (2026)

ByteGen: A Tokenizer-Free Generative Model for Orderbook Events in Byte Space
by: Li, Yang, et al.
Published: (2025)

Byte BPE Tokenization as an Inverse string Homomorphism
by: Geng, Saibo, et al.
Published: (2024)

Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers
by: Jang, Eugene, et al.
Published: (2024)

Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs
by: Su, Siyue, et al.
Published: (2026)

From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities
by: Zhang, Wanpeng, et al.
Published: (2024)

Few Tokens, Big Leverage: Preserving Safety Alignment by Constraining Safety Tokens during Fine-tuning
by: Wang, Guoli, et al.
Published: (2026)

Fine-tuning with Very Large Dropout
by: Zhang, Jianyu, et al.
Published: (2024)

Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese
by: Yang, Jie, et al.
Published: (2025)