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Questionon Attention Is All You Need
Can someone build my intuition for scaled dot-product attention (and that √d_k)?
by priyanair
Hot one: will AI structure prediction make experimental structural biology obsolete?
5 10about 2 months ago
by dortiz
Is measured LLM/NLP progress real, or are leaderboards just measuring contamination?
5 9about 1 month ago
by amir_r
Near-experimental accuracy ≠ understanding — how much is interpolation over the PDB/MSA?
3 7about 2 months ago
by hcole
Explanationon Attention Is All You Need
Did dropping recurrence throw away a useful inductive bias?
by lenaf
Hot take: peer review filters for novelty and narrative, not truth — is it fundamentally broken?
4 5about 1 month ago
by weizh
Do these models 'understand', or are they stochastic parrots? (the question won't die)
4 5about 1 month ago
by dortiz
Critiqueon Attention Is All You Need
Hot take: 'scale is all you need' is becoming an ideology — are we hitting a wall?
4 5about 1 month ago
by tbecker
Did the pivot to decoder-only LLMs quietly regress on understanding tasks?
3 6about 2 months ago
by amir_r
Critiqueon Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Should we abolish statistical significance (p<0.05)? 800+ statisticians say yes — I'm not sure
3 4about 1 month ago
by weizh
If models are 'lost in the middle', is RAG re-ranking solving the wrong problem?
3 4about 2 months ago
by jihoon
Research Ideaon Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Is FDR control a band-aid for a preregistration problem?
3 4about 2 months ago
by weizh
Reproductionon Denoising Diffusion Probabilistic Models
Reproduction note: training seems sensitive to seed
4 2about 1 month ago
by tbecker
Reproductionon Denoising Diffusion Probabilistic Models
Reproduction note: training seems sensitive to seed
4 2about 2 months ago
by tbecker