HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark
arxiv.org·8h
📝Text Parsing
SAT Requires Exhaustive Search
link.springer.com·16h·
Discuss: Hacker News
🧮SMT Solvers
Happy Blaugust! Finding Blogs to Follow
calishat.com·15h
📡RSS
T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge Retrieval
arxiv.org·8h
🔄LLM RAG Pipelines
Hessian analysis with JAX: a platform-agnostic, high-performance approach
lesswrong.com·7h
🕯️Candle
Agent Learning from Human Feedback (ALHF): A Databricks Knowledge Assistant Case Study
databricks.com·20h
👨‍💻AI Coding
How LLMs See the World
blog.bytebytego.com·21h
🧠LLM Inference
BOOST: Bayesian Optimization with Optimal Kernel and Acquisition Function Selection Technique
arxiv.org·8h
📊Statistical Ranking
EHSAN: Leveraging ChatGPT in a Hybrid Framework for Arabic Aspect-Based Sentiment Analysis in Healthcare
arxiv.org·8h
📋Text Quality
Prompting Large Language Models to Detect Dementia Family Caregivers
arxiv.org·8h
🧠LLM Inference
Reddit claims top spot as most cited domain in AI-generated answers
pressgazette.co.uk·3h·
Discuss: Hacker News
📊Search Ranking
Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-Tuning
arxiv.org·8h
📋Text Quality
Trainable Dynamic Mask Sparse Attention
arxiv.org·8h
🧠LLM Inference
Show HN: Using DSPy to enrich a dataset of the Nobel laureate network
blog.kuzudb.com·11h·
Discuss: Hacker News
📇Vector Indexing
Quantum-RAG and PunGPT2: Advancing Low-Resource Language Generation and Retrieval for the Punjabi Language
arxiv.org·8h
🎯Qdrant
Graph Embedding in the Graph Fractional Fourier Transform Domain
arxiv.org·8h
📊Embeddings
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs
arxiv.org·8h
🧠LLM Inference
Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models
arxiv.org·8h
📊ModernBERT
COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning
arxiv.org·8h
🔗Hybrid Search
TRACEALIGN -- Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs
arxiv.org·8h
🛡️AI Safety