💬 LLM - comwena · Scour

The Surprising Universality of LLM Outputs: A Real-Time Verification Primitive 🦙Ollama

LLM-Assisted Empirical Software Engineering: Systematic Literature Review and Research Agenda 🦙Ollama

Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis 🤖language models

Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity 🦙Ollama

arxiv.org·2d·Hacker News

Three Models of RLHF Annotation: Extension, Evidence, and Authority 🤖language models

AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs 🤖language models

LLM Psychosis: A Theoretical and Diagnostic Framework for Reality-Boundary Failures in Large Language Models 🤖language models

Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models 🤖language models

Evaluating Large Language Models on Computer Science University Exams in Data Structures 🤖language models

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

A Systematic Approach for Large Language Models Debugging 🤖language models

From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models 🤖language models

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

When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation 🦙Ollama

From Syntax to Emotion: A Mechanistic Analysis of Emotion Inference in LLMs 🤖language models

Shared Lexical Task Representations Explain Behavioral Variability In LLMs 🤖language models

Pythia: Toward Predictability-Driven Agent-Native LLM Serving 🦙Ollama

Addressing Performance Saturation for LLM RL via Precise Entropy Curve Control 🤖language models

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

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning 🤖language models

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