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I'm one of the authors. We kept seeing models that hold their ground when the user insists on a wrong answer, yet change their answer when the same claim is framed as coming from a "verified source".
When not Modeling is the Pragmatic Decision An anonymized forecasting case reconstructed with synthetic data: regime shifts, pretrained models and production judgment A few months ago I was involved …
Can training of nonlinear RNNs be efficiently parallelized, ensuring fast convergence even on very long time series from chaotic systems? In our #NeurIPS2026 spotlight “Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems (DS) Reconstruction (DSR)” (preprint:…
I rarely write about benchmarks; a competitor always beats them next week. But I care about 'Leaps'. Gemini 4 Argon feels like one to me.
Former Meta Chief AI Scientist shares his take on recent rogue AI incidents, effective altruism, and his plans for his new company, AMI Labs.
NVIDIA has released Kumo Tabular, a new family of tabular foundation models (TFMs) for classification and regression. If you have followed TabPFN or TabICL, the setup will look familiar. The model takes labeled rows as context and predicts new rows in one forward pass.
My paper just got accepted for a poster presentation at the Muslims in ML (MusIML) workshop at NeurIPS 2026 which will be held in Sydney, Australia. I'm really proud, but I'm a UG student and completely lack the funds for travel, registration, and accommodation.
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Over the past few years, I’ve submitted several papers to top-tier conferences such as NeurIPS, ICLR, and CVPR, and one concern that seems to come up repeatedly is 'novelty'.
OpenAI released GPT-6.1 Sol on September 29, 2026, an upgrade to GPT-6 Sol. It reaches near-Astra results on agentic coding, computer use and professional work at one-fifth of Astra's token prices. It costs $2 input and $10 output per million tokens, and cached input drops to $0.10.
I have responded to all the reviewers with proper rebuttals and modified draft. One interacted with me and after acknowledging the response kinda disappeared again after asking additional questions. I have replied to his additional questions too but he hasn't raised his score.
I started mapping the building blocks shared across all the models in audio.cpp. The result ended up being more interesting than I expected. Qwen has become by far the most common language backbone in this collection: 32 audio model families use a Qwen-family architecture, and 20 of them use Qwen3…
Tokenization is a wildly understudied area of language modeling despite it having effects across all of NLP. Over the past ~8 months, 32 (!) tokenizer researchers put together the most comprehensive survey of the field.
More recently, I am seeing a lot of posts on the sub regarding the workshop acceptance, with lack of funds to attend the conference. I unfortunately want to just say that workshop papers are not given any importance in the community.
What to run on a 16GB, 24GB or 36GB Mac, and a five-minute check that shows which one is fastest for the kind of work you do.Continue reading on Towards AI »
Hello all, I built a radar object classifier on RadarScenes, extending a prior single-scan classifier to accumulate observations over a tracked object's history instead of classifying each scan in isolation.
**BACKGROUND** My partner and I have spent the last year building an architecture layer that separates probabilistic intelligence from deterministic authority. We call it IQRAX.
I got accepted for poster presentation at the IAB workshop in Sydney but I won't be able to attend due to a lack of financial support. I wrote the paper as a solo author, and for financial support from my institute, I need to add a supervisor from my college as an author to qualify for assistance.
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