CHMLib 0.40a Integer Overflow in _unmarshal_int32 / _unmarshal_uint32 During CHM Header Parsing
seclists.org·2d
🔧Error Recovery
Cve-2025-43330: breaking out of a sandbox using font files
bsssq.xyz·12h·
Discuss: Hacker News
💻Terminal Emulators
From Legal Documents to Knowledge Graphs
neo4j.com·4d·
Discuss: Hacker News
📈Earley Parsing
Is Recursion in LLMs a Path to Efficiency and Quality?
pub.towardsai.net·2d
🪜Recursive Descent
Pre-viva Talk - 02/10/2025
informatics.ed.ac.uk·2d
🧠Semantic Parsing
Verlog: A Multi-turn RL framework for LLM agents
blog.ml.cmu.edu·2d
🎭Erlang OTP
Secrets of Chinese AI Model DeepSeek Revealed in Landmark Paper
scientificamerican.com·6h
🪜Recursive Descent
Is there a way to FINETUNE a TTS model LOCALLY to learn sound effects?
reddit.com·1d·
Discuss: r/LocalLLaMA
🔄Incremental Tokenizers
Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
arxiv.org·1d
🗂️Term Indexing
DeepSeek-R1 on Nature: How Pure Reinforcement Learning Unlocks LLM Reasoning
reddit.com·4h·
Discuss: r/LocalLLaMA
🪜Recursive Descent
ActiveVLN: Towards Active Exploration via Multi-Turn RL in Vision-and-Language Navigation
arxiv.org·1d
🌊Loop Invariant Motion
Ancient Scripts, Modern AI: Bridging the Divide with Morphology-Aware Tokenization by Arvind Sundararajan
dev.to·4d·
Discuss: DEV
⚡Tokenizer Benchmarks
Modular, On-Site Solutions with Lightweight Anomaly Detection for Sustainable Nutrient Management in Agriculture
arxiv.org·1d
✨Effect Inference
Low-resourced languages get jailbroken more. Can SAEs explain why?
lesswrong.com·1d
🌱Tiny Languages
Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
arxiv.org·1d
🪜Recursive Descent
ZTree: A Subgroup Identification Based Decision Tree Learning Framework
arxiv.org·1d
🌳Tree Algorithms
Analogy-Driven Financial Chain-of-Thought (AD-FCoT): A Prompting Approach for Financial Sentiment Analysis
arxiv.org·1d
🔍Tokenizers
Extending AI Agents by Adding Infinite Context Memory
github.com·4h·
Discuss: DEV
🏷️Attribute Grammars
RadarLLM: Adapting Pretrained Large Language Models for Marine Radar Target Detection with Preference-aware Loss
arxiv.org·2d
📊LR Parsing
Leveraging Large Language Models to Effectively Generate Visual Data for Canine Musculoskeletal Diagnoses
arxiv.org·1d
🌱Minimal ML