Cover Image

Context-Aware Neural Gradient Mapping for Fine-Grained Instruction Processing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Boldo, David, Pemberton, Lily, Thistledown, Gabriel, Fairchild, Jacob, Kowalski, Felix
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

Framework for Progressive Knowledge Fusion in Large Language Models Through Structured Conceptual Redundancy Analysis
by: Sakau, Joseph, et al.
Published: (2025)

Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants
by: Yang, Jiuding, et al.
Published: (2024)

Balancing Truthfulness and Informativeness with Uncertainty-Aware Instruction Fine-Tuning
by: Wu, Tianyi, et al.
Published: (2025)

FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG
by: Hong, Yubin, et al.
Published: (2025)

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
by: Bi, Baolong, et al.
Published: (2025)

Interpreting User Requests in the Context of Natural Language Standing Instructions
by: Moghe, Nikita, et al.
Published: (2023)

APCE: Adaptive Progressive Context Expansion for Long Context Processing
by: Lee, Baisub, et al.
Published: (2025)

Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data
by: Gu, Zihui, et al.
Published: (2024)

Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation
by: Han, Jinyi, et al.
Published: (2025)

Context-Aware Content Moderation for German Newspaper Comments
by: Krejca, Felix, et al.
Published: (2025)

ReasonMap: Towards Fine-Grained Visual Reasoning from Transit Maps
by: Feng, Sicheng, et al.
Published: (2025)

Correlation-Aware Select and Merge Attention for Efficient Fine-Tuning and Context Length Extension
by: Wang, Ning, et al.
Published: (2024)

MindRef: Mimicking Human Memory for Hierarchical Reference Retrieval with Fine-Grained Location Awareness
by: Wang, Ye, et al.
Published: (2024)

Uncertainty-Aware Gradient Signal-to-Noise Data Selection for Instruction Tuning
by: Yuan, Zhihang, et al.
Published: (2026)

ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs
by: Li, Xuancheng, et al.
Published: (2026)

EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection
by: Schuhmann, Christoph, et al.
Published: (2025)

Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)

Aligning Backchannel and Dialogue Context Representations via Contrastive LLM Fine-Tuning
by: Qian, Livia, et al.
Published: (2026)

HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination Detection
by: Bala, Maryam, et al.
Published: (2025)

Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
by: Pang, Jinlong, et al.
Published: (2025)

Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data
by: Agarwal, Ishika, et al.
Published: (2025)

InstaTrans: An Instruction-Aware Translation Framework for Non-English Instruction Datasets
by: Kim, Yungi, et al.
Published: (2024)

Attention with Dependency Parsing Augmentation for Fine-Grained Attribution
by: Ding, Qiang, et al.
Published: (2024)

Fine-Grained Self-Endorsement Improves Factuality and Reasoning
by: Wang, Ante, et al.
Published: (2024)

Large Language Models' Complicit Responses to Illicit Instructions across Socio-Legal Contexts
by: Wang, Xing, et al.
Published: (2025)

DeFine: A Decomposed and Fine-Grained Annotated Dataset for Long-form Article Generation
by: Wang, Ming, et al.
Published: (2025)

FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models
by: Liu, Yan, et al.
Published: (2024)

Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact
by: Lee, Hyunji, et al.
Published: (2025)

Reliable Fine-Grained Evaluation of Natural Language Math Proofs
by: Ma, Wenjie, et al.
Published: (2025)

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection
by: Suresh, Malavika, et al.
Published: (2025)

Fine-Grained Perspectives: Modeling Explanations with Annotator-Specific Rationales
by: Sarumi, Olufunke O., et al.
Published: (2026)

Learning to Verify Summary Facts with Fine-Grained LLM Feedback
by: Oh, Jihwan, et al.
Published: (2024)

Fine-Grained and Thematic Evaluation of LLMs in Social Deduction Game
by: Kim, Byungjun, et al.
Published: (2024)

On Instruction-Finetuning Neural Machine Translation Models
by: Raunak, Vikas, et al.
Published: (2024)

TACOS: Open Tagging and Comparative Scoring for Instruction Fine-Tuning Data Selection
by: He, Xixiang, et al.
Published: (2025)

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
by: Bai, Yuelin, et al.
Published: (2024)

A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification
by: Fatemi, Sorouralsadat, et al.
Published: (2024)

You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
by: He, Wenchong, et al.
Published: (2025)

Teaching LLMs to Abstain via Fine-Grained Semantic Confidence Reward
by: An, Hao, et al.
Published: (2025)

Learning Fine-Grained Grounded Citations for Attributed Large Language Models
by: Huang, Lei, et al.
Published: (2024)