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arXiv:2510.01252v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly trained on massive, uncurated corpora, understanding both model...
arXiv:2503.04697v2 Announce Type: replace Abstract: Reasoning language models have shown an uncanny ability to improve performance at test-time by “thinking...
Why treat LLM inference as batched kernels to DRAM when a dataflow compiler can pipe tiles through on-chip FIFOs and...
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.
Can LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems
Can Large Language Models Express Uncertainty Like Human?
Can crowdsourced fact-checking curb misinformation on social media?
Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes
Can a Crow Hatch a Falcon? Lineage Matters in Predicting Large Language Model Performance
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
C-VARC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models
ByteDance Researchers Introduce DetailFlow: A 1D Coarse-to-Fine Autoregressive Framework for Faster, Token-Efficient Image Generation
By putting AI into everything, Google wants to make it invisible
Busted by the em dash — AI’s favorite punctuation mark, and how it’s blowing your cover
Building voice AI that listens to everyone: Transfer learning and synthetic speech in action
