Toxic politics and TikTok engagement in the 2024 U.S. election
misinforeview.hks.harvard.edu·10h·
Discuss: Hacker News
⚖️Feed Ranking
AI Training: What Creators Need To Know About Copyright, Tokens, And Data Winter
techdirt.com·19h
🤖AI Curation
Compute Where It Counts: a trainable LLM sparsity enabling 4x CPU speed
crystalai.org·2d·
Discuss: Hacker News
🌊Streaming Algorithms
Cracking the Density Code: Why MAF Flows Where KDE Stalls
towardsdatascience.com·1d
🔗Tailscale
Search-capable AI agents may cheat on benchmark tests
theregister.com·3h·
Discuss: Hacker News
🧠Intelligence Compression
Show HN: Graph – turn your ChatGPT into AI-sorted RSS feeds
graph.cx·2d·
Discuss: Hacker News
📡RSS
CoDiEmb: A Collaborative yet Distinct Framework for Unified Representation Learning in Information Retrieval and Semantic Textual Similarity
arxiv.org·5d
🧮Vector Embeddings
Curriculum Approximate Unlearning for Session-based Recommendation
arxiv.org·1d
📊Learned Metrics
Subjective Behaviors and Preferences in LLM: Language of Browsing
arxiv.org·1d
👤Search Personalization
TASER: Table Agents for Schema-guided Extraction and Recommendation
arxiv.org·3d
🔍Information Retrieval
Deep Dive: OpenAI's GPT-OSS
dev.to·14h·
Discuss: DEV
📊Quantization
Reinforcement Learning to Rank Using Coarse-grained Rewards
arxiv.org·2d
📊Search Ranking
[D] Help Suggesting a best model for my sales prediction dataset
reddit.com·11h·
Discuss: r/MachineLearning
🧠Machine Learning
Deep Learning for School Dropout Detection: A Comparison of Tabular and Graph-Based Models for Predicting At-Risk Students
arxiv.org·2d
🧠Machine Learning
LitForager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking
arxiv.org·1d
🏛Digital humanities
Toying with Poisoned Search Results Fed to an LLM
github.com·20h·
Discuss: Hacker News
🔍Information Retrieval
DianJin-OCR-R1: Enhancing OCR Capabilities via a Reasoning-and-Tool Interleaved Vision-Language Model
arxiv.org·3d
🤖Advanced OCR
Fed-Meta-Align: A Similarity-Aware Aggregation and Personalization Pipeline for Federated TinyML on Heterogeneous Data
arxiv.org·4d
🌐Federated Search
From Conversation to Query: A Deep Dive into Translating Human Language into SQL with LLMs
dev.to·3h·
Discuss: DEV
🗄️Database Internals
HebID: Detecting Social Identities in Hebrew-language Political Text
arxiv.org·1d
📋Document Grammar