Cover Image

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guluzade, Aynur, Heiba, Naguib, Boukhers, Zeyd, Hamiti, Florim, Polash, Jahid Hasan, Mohamad, Yehya, Velasco, Carlos A
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence I.2.6; I.2.7; J.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning
by: Ye, Hua, et al.
Published: (2025)

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning
by: Mi, Zhendong, et al.
Published: (2025)

Why LoRA Resists Label Noise: A Theoretical Framework for Noise-Robust Parameter-Efficient Fine-Tuning
by: Steele, Brady
Published: (2026)

Automated Bug Triaging using Instruction-Tuned Large Language Models
by: Kiashemshaki, Kiana, et al.
Published: (2025)

Cost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production
by: Gonzalez, Alberto Andres Valdes
Published: (2026)

On Semantic Loss Fine-Tuning Approach for Preventing Model Collapse in Causal Reasoning
by: Deshmukh, Pratik, et al.
Published: (2026)

Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning
by: Steele, Brady
Published: (2026)

Towards Alignment-Centric Paradigm: A Survey of Instruction Tuning in Large Language Models
by: Han, Xudong, et al.
Published: (2025)

OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
by: Cotti, Luca, et al.
Published: (2025)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies
by: Qin, Xue, et al.
Published: (2026)

Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation
by: Chen, Mu-Chi, et al.
Published: (2026)

Targeted Lexical Injection: Unlocking Latent Cross-Lingual Alignment in Lugha-Llama via Early-Layer LoRA Fine-Tuning
by: Ngugi, Stanley
Published: (2025)

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
by: Pareja, Aldo, et al.
Published: (2024)

Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)

XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
by: Estevanell-Valladares, Ernesto L., et al.
Published: (2025)

Merge-Bench: Resolve Merge Conflicts with Large Language Models
by: Schesch, Benedikt, et al.
Published: (2026)

Fine-tuning of Large Language Models for Constituency Parsing Using a Sequence to Sequence Approach
by: Delgado, Francisco Jose Cortes, et al.
Published: (2025)

ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning
by: Mi, Zhendong, et al.
Published: (2025)

Layer-Aware Embedding Fusion for LLMs in Text Classifications
by: Gwak, Jiho, et al.
Published: (2025)

KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models
by: Liu, Zhongxin, et al.
Published: (2025)

On the Influence of Discourse Relations in Persuasive Texts
by: Turk, Nawar, et al.
Published: (2025)

Latent Instruction Representation Alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs
by: Easley, Eric, et al.
Published: (2026)

Calibrated Confidence Estimation for Tabular Question Answering
by: Voss, Lukas
Published: (2026)

Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
by: Liao, Jianxing, et al.
Published: (2025)

Scalable GPU-Accelerated Euler Characteristic Curves: Optimization and Differentiable Learning for PyTorch
by: Saxena, Udit
Published: (2025)

JURY-RL: Votes Propose, Proofs Dispose for Label-Free RLVR
by: Chen, Xinjie, et al.
Published: (2026)

Descriptive Collision in Sparse Autoencoder Auto-Interpretability: When One Explanation Describes Many Features
by: McCann, Jordan F.
Published: (2026)

Super Apriel: One Checkpoint, Many Speeds
by: Labs, SLAM, et al.
Published: (2026)

OSCToM: RL-Guided Adversarial Generation for High-Order Theory of Mind
by: Srishty, Sharmin Sultana, et al.
Published: (2026)

Emergent Lexical Semantics in Neural Language Models: Testing Martin's Law on LLM-Generated Text
by: Kugler, Kai
Published: (2025)

Character-Level Transformer for Tajik-Persian Transliteration with a Parallel Lexical Corpus
by: Arabov, Mullosharaf K.
Published: (2026)

Mitigating Cross-Lingual Cultural Inconsistencies in LLMs via Consensus-Driven Preference Optimisation
by: Resck, Lucas, et al.
Published: (2026)

BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
by: Patarlapalli, Sai Babu, et al.
Published: (2026)

Learned Relay Representations for Forward-Thinking Discrete Diffusion Models
by: Rozonoyer, Benjamin, et al.
Published: (2026)

Bridging the Gap: An Intermediate Language for Enhanced and Cost-Effective Grapheme-to-Phoneme Conversion with Homographs with Multiple Pronunciations Disambiguation
by: Bertina, Abbas, et al.
Published: (2025)

Induce, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning
by: Zhang, Bowen, et al.
Published: (2025)

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability
by: Bakish, Yarden, et al.
Published: (2025)

QuAnTS: Question Answering on Time Series
by: Divo, Felix, et al.
Published: (2025)

EmoLoom-2B: Fast Base-Model Screening for Emotion Classification and VAD with Lexicon-Weak Supervision and KV-Off Evaluation
by: Li, Zilin, et al.
Published: (2026)