Copertina

Reliable Extraction of Clinical Follow-Up Instructions: A Hybrid Neural-Symbolic Pipeline

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Laufer, Michal, Aperstein, Yehudit, Apartsin, Alexander
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis
di: Aperstein, Yehudit, et al.
Pubblicazione: (2026)

SeaAlert: Critical Information Extraction From Maritime Distress Communications with Large Language Models
di: Atia, Tomer, et al.
Pubblicazione: (2026)

IRC-Bench: Recognizing Entities from Contextual Cues in First-Person Reminiscences
di: Aperstein, Yehudit, et al.
Pubblicazione: (2026)

Toward a Benchmark for Controllable Simulation of Imperfect Students with Large Language Models
di: Apartsin, Alexander, et al.
Pubblicazione: (2026)

From Joy to Fear: A Benchmark of Emotion Estimation in Pop Song Lyrics
di: Dahary, Shay, et al.
Pubblicazione: (2025)

LLM-guided headline rewriting for clickability enhancement without clickbait
di: Aperstein, Yehudit, et al.
Pubblicazione: (2026)

DGLD: Domain-Gated Latent Diffusion for the Discovery of Novel Energetic Materials
di: Aperstein, Yehudit, et al.
Pubblicazione: (2026)

Acting on the Unseen: Communication-Free Collaborative Filtering for Decentralized Multi-Robot Task Allocation
di: Apartsin, Alexander, et al.
Pubblicazione: (2026)

Mapping License Plate Recoverability Under Extreme Viewing Angles for Oppor-tunistic Urban Sensing
di: Adamenko, Igor, et al.
Pubblicazione: (2026)

Explainable Semantic Text Relations: A Question-Answering Framework for Comparing Document Content
di: Aperstein, Yehudit, et al.
Pubblicazione: (2025)

CalexNet: Soft Cascade-Aligned Training and Calibration for Lightweight Early-Exit Branches
di: Aperstein, Yehudit, et al.
Pubblicazione: (2025)

When Curiosity Signals Danger: Predicting Health Crises Through Online Medication Inquiries
di: Goncharok, Dvora, et al.
Pubblicazione: (2025)

From Fuzzy Speech to Medical Insight: Benchmarking LLMs on Noisy Patient Narratives
di: Mama, Eden, et al.
Pubblicazione: (2025)

PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
di: Lahiany, Assaf, et al.
Pubblicazione: (2025)

Reading Between the Lines: Classifying Resume Seniority with Large Language Models
di: Cohen, Matan, et al.
Pubblicazione: (2025)

An Interpretable Benchmark for Clickbait Detection and Tactic Attribution
di: Nofar, Lihi, et al.
Pubblicazione: (2025)

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant
di: Bolshinsky, Inbal, et al.
Pubblicazione: (2025)

Code Review Without Borders: Evaluating Synthetic vs. Real Data for Review Recommendation
di: Cohen, Yogev, et al.
Pubblicazione: (2025)

COCORELI: Enforcing Execution Preconditions for Reliable Collaborative Instruction Following
di: Bhar, Swarnadeep, et al.
Pubblicazione: (2025)

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs
di: Wang, Rong, et al.
Pubblicazione: (2024)

Revisiting the Reliability of Language Models in Instruction-Following
di: Dong, Jianshuo, et al.
Pubblicazione: (2025)

Stitching the Story: Creating Panoramic Incident Summaries from Body-Worn Footage
di: Cohen, Dor, et al.
Pubblicazione: (2025)

Beyond Words: Interjection Classification for Improved Human-Computer Interaction
di: Goren, Yaniv, et al.
Pubblicazione: (2025)

Sparse Activation Editing for Reliable Instruction Following in Narratives
di: Zhao, Runcong, et al.
Pubblicazione: (2025)

Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learning
di: Volovikova, Zoya, et al.
Pubblicazione: (2026)

The Instruction Gap: LLMs get lost in Following Instruction
di: Tripathi, Vishesh, et al.
Pubblicazione: (2025)

Pipelined Biomedical Event Extraction Rivaling Joint Learning
di: Wu, Pengchao, et al.
Pubblicazione: (2024)

Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding
di: Sun, Shenghuan, et al.
Pubblicazione: (2024)

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following
di: Lou, Renze, et al.
Pubblicazione: (2023)

KIT's Offline Speech Translation and Instruction Following Submission for IWSLT 2025
di: Koneru, Sai, et al.
Pubblicazione: (2025)

Training with Pseudo-Code for Instruction Following
di: Kumar, Prince, et al.
Pubblicazione: (2025)

WildIFEval: Instruction Following in the Wild
di: Lior, Gili, et al.
Pubblicazione: (2025)

A Joint Neural Baseline for Concept, Assertion, and Relation Extraction from Clinical Text
di: Cheng, Fei, et al.
Pubblicazione: (2026)

Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs
di: Yang, Sen, et al.
Pubblicazione: (2023)

NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering
di: Cao, Ruisheng, et al.
Pubblicazione: (2025)

Reasoning Up the Instruction Ladder for Controllable Language Models
di: Zheng, Zishuo, et al.
Pubblicazione: (2025)

Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models
di: Sun, Wangtao, et al.
Pubblicazione: (2024)

M-IFEval: Multilingual Instruction-Following Evaluation
di: Dussolle, Antoine, et al.
Pubblicazione: (2025)

UltraIF: Advancing Instruction Following from the Wild
di: An, Kaikai, et al.
Pubblicazione: (2025)

Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following
di: Ren, Qingyu, et al.
Pubblicazione: (2025)