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Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric...

Can a Crow Hatch a Falcon? Lineage Matters in Predicting Large Language Model Performance

arXiv:2504.19811v2 Announce Type: replace Abstract: Accurately forecasting the performance of Large Language Models (LLMs) before...

Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding

arXiv:2505.03788v1 Announce Type: new Abstract: We introduce a novel approach for calibrating uncertainty quantification (UQ)...

C-VARC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models

arXiv:2506.01495v5 Announce Type: replace Abstract: Ensuring that Large Language Models (LLMs) align with mainstream human...

ByteDance Researchers Introduce DetailFlow: A 1D Coarse-to-Fine Autoregressive Framework for Faster, Token-Efficient Image Generation

Autoregressive image generation has been shaped by advances in sequential modeling, originally seen in natural...

By putting AI into everything, Google wants to make it invisible 

If you want to know where AI is headed, this year’s Google I/O has you...

Busted by the em dash — AI’s favorite punctuation mark, and how it’s blowing your cover

AI is brilliant at polishing and rephrasing. But like a child with glitter glue, you...

Building voice AI that listens to everyone: Transfer learning and synthetic speech in action

Enterprises adopting voice AI must consider not just usability, but inclusion. Supporting users with disabilities...

Building Vector Similarity Search in PostgreSQL with pgvector

Search works well when users know exactly what they are looking for, but it breaks...

Building tech in the world’s secret R&D hub

Apple. Anthropic. Disney Research. Google. Meta. Microsoft. NVIDIA. OpenAI. Few places outside Silicon Valley can...

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality

arXiv:2508.19689v1 Announce Type: new Abstract: Developing adaptable, extensible, and accurate task bots with minimal or...

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