Cover Image

EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zong, Chang, Wan, Jian, Tang, Siliang, Zhang, Lei
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence 68T50
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BELIEF: Structured Evidence Modeling and Uncertainty-Aware Fusion for Biomedical Question Answering
by: Zong, Chang, et al.
Published: (2026)

Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering
by: Zong, Chang, et al.
Published: (2024)

OPENXRD: A Comprehensive Benchmark Framework for LLM/MLLM XRD Question Answering
by: Vosoughi, Ali, et al.
Published: (2025)

Can Out-of-Distribution Evaluations Uncover Reliance on Shortcuts? A Case Study in Question Answering
by: Štefánik, Michal, et al.
Published: (2025)

LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question Answering
by: Faisal, Faizan, et al.
Published: (2024)

A Graph-based Approach for Multi-Modal Question Answering from Flowcharts in Telecom Documents
by: Soman, Sumit, et al.
Published: (2025)

ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses
by: Zong, Chang, et al.
Published: (2024)

HInter: Exposing Hidden Intersectional Bias in Large Language Models
by: Souani, Badr, et al.
Published: (2025)

A Primer on Large Language Models and their Limitations
by: Johnson, Sandra, et al.
Published: (2024)

Multi-Model Synthetic Training for Mission-Critical Small Language Models
by: Platt, Nolan, et al.
Published: (2025)

Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models
by: Truong, Sang T., et al.
Published: (2024)

Curriculum Recommendations Using Transformer Base Model with InfoNCE Loss And Language Switching Method
by: Xu, Xiaonan, et al.
Published: (2024)

Auto prompt sql: a resource-efficient architecture for text-to-sql translation in constrained environments
by: Tang, Zetong, et al.
Published: (2025)

PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models
by: Moradbeiki, Pardis, et al.
Published: (2024)

A Survey on Collaborating Small and Large Language Models for Performance, Cost-effectiveness, Cloud-edge Privacy, and Trustworthiness
by: Wang, Fali, et al.
Published: (2025)

Evaluating Prompting Strategies for Chart Question Answering with Large Language Models
by: Naikar, Ruthuparna, et al.
Published: (2026)

Pay Attention to What You Need
by: Gao, Yifei, et al.
Published: (2023)

FARSIQA: Faithful and Advanced RAG System for Islamic Question Answering
by: Asl, Mohammad Aghajani, et al.
Published: (2025)

Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing
by: Rohanian, Omid, et al.
Published: (2023)

Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine
by: Rohanian, Omid, et al.
Published: (2024)

Evaluation of RAG Metrics for Question Answering in the Telecom Domain
by: Roychowdhury, Sujoy, et al.
Published: (2024)

Efficient Adaptive Rejection Sampling for Accelerating Speculative Decoding in Large Language Models
by: Sun, Chendong, et al.
Published: (2025)

T-VEC: A Telecom-Specific Vectorization Model with Enhanced Semantic Understanding via Deep Triplet Loss Fine-Tuning
by: Ethiraj, Vignesh, et al.
Published: (2025)

Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models
by: Safavi-Naini, Seyed Amir Ahmad, et al.
Published: (2024)

The Impact of Role Design in In-Context Learning for Large Language Models
by: Rouzegar, Hamidreza, et al.
Published: (2025)

Transforming and Combining Rewards for Aligning Large Language Models
by: Wang, Zihao, et al.
Published: (2024)

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
by: Wang, Fali, et al.
Published: (2024)

A Language Model-Driven Semi-Supervised Ensemble Framework for Illicit Market Detection Across Deep/Dark Web and Social Platforms
by: Yazdanjue, Navid, et al.
Published: (2025)

No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Language Models
by: Sela, Omer
Published: (2026)

Semantic Synergy: Unlocking Policy Insights and Learning Pathways Through Advanced Skill Mapping
by: Koundouri, Phoebe, et al.
Published: (2025)

ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models
by: Miliani, Martina, et al.
Published: (2025)

Tatarstan Toponyms: A Bilingual Dataset and Hybrid RAG System for Geospatial Question Answering
by: Arabov, Mullosharaf K.
Published: (2026)

Meaning-infused grammar: Gradient Acceptability Shapes the Geometric Representations of Constructions in LLMs
by: Rakshit, Supantho, et al.
Published: (2025)

Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction
by: Yamada, Hiroaki, et al.
Published: (2023)

One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs
by: Wang, Pengbo, et al.
Published: (2025)

LayerTracer: A Joint Task-Particle and Vulnerable-Layer Analysis framework for Arbitrary Large Language Model Architectures
by: Wu, Yuhang, et al.
Published: (2026)

Raw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Model
by: Hou, Xia, et al.
Published: (2024)

ProbeScale: Probing Analysis to Optimize Neural Scaling Laws for Efficient Small Language Model Inference
by: Das, Sourav
Published: (2026)

LLM Evaluation Based on Aerospace Manufacturing Expertise: Automated Generation and Multi-Model Question Answering
by: Liu, Beiming, et al.
Published: (2025)

OptPO: Optimal Rollout Allocation for Test-time Policy Optimization
by: Wang, Youkang, et al.
Published: (2025)