🤖 LLMs - deglon · Scour

Delineating Knowledge Boundaries for Honest Large Vision-Language Models 🔍RAG

LLM Psychosis: A Theoretical and Diagnostic Framework for Reality-Boundary Failures in Large Language Models 🔍RAG

TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models 🔍RAG

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning 🔍RAG

Select to Think: Unlocking SLM Potential with Local Sufficiency 🤖AI

Factorized Latent Reasoning for LLM-based Recommendation 🔍RAG

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models 🛠️AI Tools

CoQuant: Joint Weight-Activation Subspace Projection for Mixed-Precision LLMs 🔍RAG

LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation 🔍RAG

Information Extraction from Electricity Invoices with General-Purpose Large Language Models 🔍RAG

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities 🔍RAG

Structural Generalization on SLOG without Hand-Written Rules 🔍RAG

Small Language Model Helps Resolve Semantic Ambiguity of LLM Prompt 🔍RAG

Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models 🔍RAG

Associative-State Universal Transformers: Sparse Retrieval Meets Structured Recurrence 🔍RAG

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

Decoupling Knowledge and Task Subspaces for Composable Parametric Retrieval Augmented Generation 🔍RAG

On the Limits of Self-Improving in Large Language Models: The Singularity Is Not Near Without Symbolic Model Synthesis 🤖AI

arxiv.org·2d·Lobsters

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

Evaluating Large Language Models on Computer Science University Exams in Data Structures 🔍RAG

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