LLMs

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A handy llama-server launcher with easy model and configuration customisation

 🐧Open Source  Content type: Code
github.com··r/LocalLLaMA

Rosetta Memory: Adaptive Memory for Cross-LLM Agents

 🎯RLHF  Content type: Academic
arxiv.org·

Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

Impacts of Histories and Models on LLM Grading: A Study in Advanced Software Engineering Courses

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

SaqlainXoas/llm-system-patterns: A docs-first guide to LLM system design — hybrid search, embedding pipelines, reranking, and LLM-as-judge patterns.

 ✍️Prompt Engineering  Content type: Code

Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning

 🎛️Fine-tuning  Content type: Academic
arxiv.org·

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models

 🎛️Fine-tuning  Content type: Academic
arxiv.org·

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

 Flash Attention  Content type: Code
github.com··Hacker News

Distilling Safe LLM Systems via Soft Prompts for On Device Settings

 🎛️Fine-tuning  Content type: Academic
arxiv.org·

Causal Semantic Alignment for LLM-based Time Series Forecasting

 🤖AI  Content type: Academic
arxiv.org·

Analyzing the Correlation Between Hallucinations and Knowledge Conflicts in Large Language Models

 Speculative Decoding  Content type: Academic
arxiv.org·

When LLMs Invent Rust Crates: An Empirical Study of Hallucination Patterns and Mitigation

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

TLRD: Teaching LLMs to Reason over Tabular Data with Tri-Level Rationale Distillation

 Speculative Decoding  Content type: Academic
arxiv.org·

ZAS-SQL: Distilling Rules from Failures for Zero-Shot Text-to-SQL

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

Hallucination Cascade: Analyzing Error Propagation in Multi-Agent LLM Systems

 🔐Cryptography  Content type: Academic
arxiv.org·

Emergence of Context Characteristics Sensitivity in Large Language Models

 🎛️Fine-tuning  Content type: Academic
arxiv.org·

Friend or Foe? Language as an ideological switch in open-weight LLMs under Russian disinformation stress

 💻Programming Languages  Content type: Academic
arxiv.org·

Dominant-Layer ZO: A Single Layer Dominates Zeroth-Order Fine-Tuning of LLMs

 🎯Fine-Tuning  Content type: Academic
arxiv.org·

LLMs + Persona-Plug = Personalized LLMs

 🎛️Fine-tuning  Content type: Academic
arxiv.org·

Multilingual Fine-Tuning via Localized Gradient Conflict Resolution

 📈Time Series Analysis  Content type: Academic
arxiv.org·

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