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Table of contents Why WER Isn’t Enough ? What to Measure (and How) ? Benchmark Landscape: What Each Covers Filling...

What if, instead of re-sampling one agent, you could push Gemini-2.5 Pro to 34.1% on HLE by mixing 12–15 tool-using...
We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in...

Can a speech enhancer trained only on real noisy recordings cleanly separate speech and noise—without ever seeing paired data? A...

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world...

Imbalanced datasets are a common challenge in machine learning.

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering...
arXiv:2510.01304v1 Announce Type: cross Abstract: Although current large Vision-Language Models (VLMs) have advanced in multimodal understanding and reasoning, their fundamental...
arXiv:2510.01391v1 Announce Type: new Abstract: Large language models (LLMs) excel at general language tasks but often struggle with event-based questions-especially...






