✨ LLMs - hop1.ng.1357 · Scour

Doing More With Less: Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling 🤖LLM

MoRFI: Monotonic Sparse Autoencoder Feature Identification 🤖LLM

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities 🤖LLM

Large Language Models for Multilingual Code Intelligence: A Survey 🤖LLM

Self Knowledge Re-expression: A Fully Local Method for Adapting LLMs to Tasks Using Intrinsic Knowledge 🤖LLM

LLM-Guided Issue Generation from Uncovered Code Segments 🤖LLM

Job Skill Extraction via LLM-Centric Multi-Module Framework 🤖LLM

TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models 🤖LLM

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective 🤖LLM

Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models 🤖LLM

The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models 🤖LLM

StructMem: Structured Memory for Long-Horizon Behavior in LLMs 🪄Prompt Engineering

ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems 👤Search Personalization

Small Language Model Helps Resolve Semantic Ambiguity of LLM Prompt 🪄Prompt Engineering

Associative-State Universal Transformers: Sparse Retrieval Meets Structured Recurrence 🤖LLM

Evaluation of Automatic Speech Recognition Using Generative Large Language Models 🤖LLM

A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations 🤖LLM

COPUS: Co-adaptive Parallelism and Batch Size Selection in Large Language Model Training 🤖LLM

ITAS: A Multi-Agent Architecture for LLM-Based Intelligent Tutoring 🤖LLM

BLAST: Benchmarking LLMs with ASP-based Structured Testing ✅Formal Verification

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