Research Daily¶
One research paper at a time, taken apart slowly. Each lesson builds the ideas from first principles, draws them, argues with the authors, and ends with a quiz so the ideas stay with you.
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Latest papers¶
Added 20 Oct 2026
Ming-3.0-tts-tiny
Ming-3.0-tts-tiny (open-weight model release, no paper)
A speech model that never picks a token: each 80 ms of audio is 64 real numbers, drawn by a small flow model from a 7.9B mixture-of-experts language model's hidden state.
Added 20 Oct 2026
DeepInfer
DeepInfer: High-performance, large-scale inference framework for DeepSeek models (open-source release, no paper)
DeepSeek open-sourced the engine that serves 155 trillion tokens a day. Here is how one request travels through it, and which tricks you could borrow.
Added 20 Oct 2026
ByteRobust
Robust LLM Training Infrastructure at ByteDance
A 9,600-GPU training run breaks every few hours. How do you keep it training 97% of the time?
Added 15 Oct 2026
Mind the Accent Gap
Mind the Accent Gap: British Accent Robustness in Speech-Driven Financial Voice Assistants
A Scottish customer asks a banking assistant about spending at Tesco, and the transcript reads "Hi Monte Santesco". How often does that happen, and which ASR prevents it?
Added 15 Oct 2026
Llama 4 Herd
The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes
Two open models both use 17B parameters per token, yet one needs almost four times the memory. A withdrawn, unofficial survey of Llama 4 explains why.
Added 14 Oct 2026
OmniVoice
OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models
One 0.8B model clones a voice in 646 languages, and half of them had about ten hours of training audio or less.
Added 14 Oct 2026
AudioLBM
Audio Super-Resolution with Latent Bridge Models
Most upsamplers paint the missing treble starting from random noise. AudioLBM starts from the muffled clip itself and walks it to 48 kHz, then on to 192 kHz.
Added 14 Oct 2026
AudioSR
AudioSR: Versatile Audio Super-resolution at Scale
One diffusion model takes speech, music or sound effects recorded at anywhere from 4 to 32 kHz and fills in the missing treble up to 48 kHz.
Added 11 Oct 2026
Breeze TTS 2
Breeze TTS 2 (open-weight model release, no paper)
A streaming TTS model that tops the open-weight leaderboard ships with code and weights but no paper. The code still tells you exactly how it works.
Added 4 Oct 2026
OPD Scaling Laws
Scaling Properties of Same-Family On-Policy Distillation
A 0.5B math model that scores 39.8% can teach a 14B model to 77.7%. Yet a bigger teacher can make a small student worse, and of two teachers with near-equal scores, the bigger one teaches worse. This paper finds the laws behind all three.
Added 2 Oct 2026
ICL for Robots
In-Context Learning for Robots: Methods and Applications
A robot that copies your packing demo and one that ignores it can finish with the exact same tray. This 100-page survey asks how robots learn from a demo without retraining, and how you'd ever tell.
Added 30 Sep 2026
Duplex-MPE
Duplex-MPE: Benchmarking Multi-Party Interaction in Full-Duplex Dialogue
One voice model has speech after 99.55% of the requests put to it. Sounds great, until you learn it also talks through 20,355 of the 20,360 moments when it should have kept quiet.
Added 30 Sep 2026
SchrodingerRepo
Schrödinger's Code Repository: Have LLMs Learned SWE-bench or Memorized It?
Rename the files and functions in Django without changing what the code does, and coding agents solve 6 to 14 points fewer SWE-bench tasks.
Added 30 Sep 2026
Disaggregated Quantization
Disaggregated Quantization: Specializing LLM Prefill and Decode
Take a 1-bit Qwen3.8-27B that scores 29% on MMLU-Pro, leave its weights untouched, and add a separately trained 4-bit prompt reader streamed from the SSD: it scores 61.5% and handles long prompts up to 1.78× faster.
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