Y Combinator Paper Club Focuses on Data Frontiers and Benchmarking
volokuleshov · x · 2026-08-21
This week's Y Combinator Paper Club focuses on data, discussing new challenges in training and evaluation as models scale across tasks and languages. Topics include:
- Francois Chaubard: Why focus a whole night on data?
- Vincent Chen: The Art & Science of Benchmarking Agents.
- Volokuleshov: Inception: Diffusion Language Models for Production.
- Shayne Redford: ATLAS: Practical Scaling Laws for Multilingual Models.
Related event: YC Paper Club Digs Into Data, Benchmarks and Multilingual Models(2 posts)→
More from Research
- RSI is not a perpetual motion machine; the real bottleneck is compute — shuchaobi · 2026-08-21
- New Paper Proposes 'Spectral Neuron' Using Eigenvalues as Non-Linearity — CatAstro_Piyush · 2026-08-21
- Microsoft releases Skala 1.1 DL functional for computational chemistry — vdbergrianne · 2026-08-21
- Open Source A2A Adapter Enables Interoperability Between AI Agent Frameworks — kevinlu310 · 2026-08-21
- Counterintuitive LLM Inference: Batching, Quantization, and Speculative Decoding Pitfalls — techNmak · 2026-08-21
- Paper: AI Scientists Should Be Studied as Human-Agent Systems — rohanpaul_ai · 2026-08-21