arXiv:2508.14390v2 Announce Type: replace-cross Abstract: Large language models (LLMs) often express verbal confidence that is poorly aligned with actual…
Tag: AI
What We Learned by Reproducing 2,200 papers from ICML
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: What We Learned by Reproducing 2,200 papers from ICML
How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG
arXiv:2506.06331v2 Announce Type: replace-cross Abstract: By retrieving contexts from knowledge graphs, graph-based retrieval-augmented generation…
Previewing Ultrafast mode: GPT-5.6 Sol at up to 14X the speed
Preview Ultrafast, a new OpenAI API service tier that runs GPT-5.6 Sol up to 14× faster. Powered by Cerebras, it delivers up to 750 output tokens per…
Can Generalist Vision Language Models (VLMs) Rival Specialist Medical VLMs? Benchmarking and Strategic Insights
arXiv:2506.17337v5 Announce Type: replace-cross Abstract: Vision Language Models (VLMs) have shown promise in automating image diagnosis and…
Amazon Quick Arrives Inside Word, Excel, PowerPoint, and Outlook
AWS has brought its Amazon Quick assistant directly into Microsoft 365, announcing on August 13, 2026 that extensions for Word, Excel, PowerPoint, and…
Exploring Sparsity for Parameter Efficient Fine Tuning Using Wavelets for Vision
arXiv:2505.12532v3 Announce Type: replace-cross Abstract: Efficiently adapting large pretrained models is critical under tight compute and memory budgets.…
Unmasking Conversational Bias in AI Multiagent Systems
arXiv:2501.14844v3 Announce Type: replace-cross Abstract: Detecting biases in the outputs produced by generative models is essential to reduce the…
Automate legacy web applications with Amazon Bedrock AgentCore Browser Tool
Learn how to automate legacy web applications that need human-like interaction using Amazon Bedrock AgentCore Browser Tool and Strands Agents. This…
Yes, Q-learning Helps Offline In-Context RL
arXiv:2502.17666v5 Announce Type: replace-cross Abstract: Existing offline in-context reinforcement learning (ICRL) methods have predominantly relied on…