See if your website is discoverable on ChatGPT
propensia.ai·1h·
Discuss: Hacker News
🧭Content Discovery
Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation
arxiv.org·2h
🧠Machine Learning
MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications
arxiv.org·1d
🎙️Whisper
Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach
arxiv.org·1d
🎛️Feed Filtering
Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
arxiv.org·2d
📜Digital Philology
ReCode: Updating Code API Knowledge with Reinforcement Learning
arxiv.org·2h
⚡Incremental Computation
Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
arxiv.org·2h
🔍Information Retrieval
Exploring Graph-Transformer Out-of-Distribution Generalization Abilities
arxiv.org·2h
🕸️Graph Embeddings
ANOVA-boosting for Random Fourier Features
arxiv.org·1d
🧠Machine Learning
DCMF: A Dynamic Context Monitoring and Caching Framework for Context Management Platforms
arxiv.org·2d
🌊Streaming Systems
Practical tips to optimize documentation for LLMs, AI agents, and chatbots
biel.ai·1d·
Discuss: Hacker News
🤖Archive Automation
Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment
arxiv.org·1d
🔗Constraint Handling
Supervised Coupled Matrix-Tensor Factorization (SCMTF) for Computational Phenotyping of Patient Reported Outcomes in Ulcerative Colitis
arxiv.org·2h
🧠Machine Learning
SUTRA: Decoupling Concept & Language for Multilingual LLM Excellence
hackernoon.com·14h
💻Local LLMs
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·1d
🧠Machine Learning
Open-Source AI Stacks for E-Commerce (2025 Guide)
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Enterprise Large Language Model Evaluation Benchmark
arxiv.org·2h
⚙️Compression Benchmarking
Expanding Relevance Judgments for Medical Case-based Retrieval Task with Multimodal LLMs
arxiv.org·2d
🔍Information Retrieval
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
arxiv.org·1d
💻Local LLMs
Machine Learning Fundamentals: active learning project
dev.to·14h·
Discuss: DEV
🧠Machine Learning