Cover Image

Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pronesti, Massimiliano, Bettencourt-Silva, Joao, Flanagan, Paul, Pascale, Alessandra, Redmond, Oisin, Belz, Anya, Hou, Yufang
Format:	Preprint
Published:	2025
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

Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning
by: Pronesti, Massimiliano, et al.
Published: (2025)

Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning
by: Pronesti, Massimiliano, et al.
Published: (2026)

FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
by: Carnerero-Cano, Javier, et al.
Published: (2026)

QRA++: Quantified Reproducibility Assessment for Common Types of Results in Natural Language Processing
by: Belz, Anya
Published: (2025)

A Comparative Study of Controlled Text Generation Systems Using Level-Playing-Field Evaluation Principles
by: Lorandi, Michela, et al.
Published: (2026)

Induction Signatures Are Not Enough: A Matched-Compute Study of Load-Bearing Structure in In-Context Learning
by: Sabry, Mohammed, et al.
Published: (2025)

Output Composability of QLoRA PEFT Modules for Plug-and-Play Attribute-Controlled Text Generation
by: Lorandi, Michela, et al.
Published: (2026)

Reproducing the Metric-Based Evaluation of a Set of Controllable Text Generation Techniques
by: Lorandi, Michela, et al.
Published: (2024)

High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models
by: Lorandi, Michela, et al.
Published: (2024)

Grounding Fallacies Misrepresenting Scientific Publications in Evidence
by: Glockner, Max, et al.
Published: (2024)

HEDS 3.0: The Human Evaluation Data Sheet Version 3.0
by: Belz, Anya, et al.
Published: (2024)

Assessing the Portability of Parameter Matrices Trained by Parameter-Efficient Finetuning Methods
by: Sabry, Mohammed, et al.
Published: (2024)

Budgeted LoRA: Distillation as Structured Compute Allocation for Efficient Inference
by: Sabry, Mohammed, et al.
Published: (2026)

The QCET Taxonomy of Standard Quality Criterion Names and Definitions for the Evaluation of NLP Systems
by: Belz, Anya, et al.
Published: (2025)

A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences
by: Garcia, Gabriel Lino, et al.
Published: (2024)

Scientific Discourse Tagging for Evidence Extraction
by: Li, Xiangci, et al.
Published: (2019)

ClaimFlow: Tracing the Evolution of Scientific Claims in NLP
by: Pramanick, Aniket, et al.
Published: (2026)

SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement
by: Mondal, Ishani, et al.
Published: (2024)

CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction
by: Tran, Khai Phan, et al.
Published: (2025)

How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study
by: Waldis, Andreas, et al.
Published: (2023)

Query-driven Relevant Paragraph Extraction from Legal Judgments
by: Santosh, T. Y. S. S, et al.
Published: (2024)

FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
by: Marinescu, Radu, et al.
Published: (2025)

Enhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMs
by: Sun, Tongyue, et al.
Published: (2024)

Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards
by: Şahinuç, Furkan, et al.
Published: (2024)

WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
by: Hou, Yufang, et al.
Published: (2024)

Systematic Task Exploration with LLMs: A Study in Citation Text Generation
by: Şahinuç, Furkan, et al.
Published: (2024)

A Study on Building Efficient Zero-Shot Relation Extraction Models
by: Thomas, Hugo, et al.
Published: (2026)

Enhancing Biomedical Relation Extraction with Directionality
by: Lai, Po-Ting, et al.
Published: (2025)

Where Knowledge Collides: A Mechanistic Study of Intra-Memory Knowledge Conflict in Language Models
by: Pham, Minh Vu, et al.
Published: (2026)

Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization
by: Waldis, Andreas, et al.
Published: (2024)

From Chaos to Clarity: Schema-Constrained AI for Auditable Biomedical Evidence Extraction from Full-Text PDFs
by: Mortezaagha, Pouria, et al.
Published: (2025)

SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents
by: Zhang, Qi, et al.
Published: (2024)

Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier
by: Shang, Yufei, et al.
Published: (2025)

Doc2SAR: A Synergistic Framework for High-Fidelity Extraction of Structure-Activity Relationships from Scientific Documents
by: Zhuang, Jiaxi, et al.
Published: (2025)

Investigating the Relation Between Second Language Proficiency and Study Success Using a Causal Inference Approach
by: Sybren Spit, et al.
Published: (2025)

Secure Change-Point Detection for Time Series under Homomorphic Encryption
by: Mazzone, Federico, et al.
Published: (2026)

Benchingmaking Large Langage Models in Biomedical Triple Extraction
by: Li, Mingchen, et al.
Published: (2023)

TaxoAlign: Scholarly Taxonomy Generation Using Language Models
by: Lahiri, Avishek, et al.
Published: (2025)

GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction
by: Mao, Yanxu, et al.
Published: (2024)

Improved Evidence Extraction and Metrics for Document Inconsistency Detection with LLMs
by: Tan, Nelvin, et al.
Published: (2026)