A new study identifies how LLMs develop social reasoning capabilities and form theory of mind (ToM), an important discovery ...
According to @godofprompt, a new paper by the Ling team titled 'Every Attention Matters' introduces the Ring-linear architecture, which fundamentally changes long-context reasoning in large language ...
Attention mechanisms are very useful innovations in the field of artificial intelligence (AI) for processing sequential data, especially in speech and audio applications. This FAQ talks about how ...
In this tutorial, we take a hands-on approach to building an advanced convolutional neural network for DNA sequence classification. We focus on simulating real biological tasks, such as promoter ...
MLD Ph.D. student Aakash Lahoti has been named a 2025-2026 Jump Trading Fellow for his work on building efficient, effective sequence-to-sequence models that can handle very long inputs. Aakash Lahoti ...
Electromyography (EMG) is essential for accurate assessment of motor function in rehabilitation, sports science, and robotics. However, its various time-consuming human operations (e.g., ...
Kevin K. Yang, Sarah Alamdari, Alex J. Lee, Kaeli Kaymak-Loveless, Samir Char, Garyk Brixi, Carles Domingo-Enrich, Chentong Wang, Suyue Lyu, Nicolo Fusi, Philip Rosenfield, Neil Tenenholtz, Ava P.
Video world models, which predict future frames conditioned on actions, hold immense promise for artificial intelligence, enabling agents to plan and reason in dynamic environments. Recent ...
when you apply it to a full sequence when you split the sequence into two chunks, apply it to the first chunk to get a final state (past_key_values), and apply it to the second chunk using the initial ...
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