#SCOPE #ICLR2025 Poster session is going on....

Zhuang's Zhuang Liu talk ("Transformers without normalisation") is underway.. #SCOPE #ICLR2025 Grab your seats...

#ICLR2025 #SCOPEICLR2025 That's wrap from ICLR 2026 , first #ICLRatAsia, admittedly one of the most engaging conference I ever had. 📌Happy to see the overwhelming response at the #SCOPEICLR25 workshop! Thanks to the in-person co-runners Amir Yazdan Shiwei Liu! and congrats

#ICML2025 #hybridLLM #distillation #adaptivefoundationmodel As we emerge to know the limitations and benefits of linear attention, how about 𝒂𝒅𝒂𝒑𝒕𝒊𝒗𝒆𝒍𝒚 𝒂𝒏𝒅 𝒇𝒍𝒆𝒙𝒊𝒃𝒍𝒚 𝒔𝒘𝒊𝒕𝒄𝒉𝒊𝒏𝒈 𝒇𝒓𝒐𝒎 𝒒𝒖𝒂𝒅𝒓𝒂𝒕𝒊𝒄 𝒕𝒐 𝒍𝒊𝒏𝒆𝒂𝒓 𝒂𝒕𝒕𝒆𝒏𝒕𝒊𝒐𝒏

With the rapid growth of image and video generative tasks, their efficient and adaptable deployment has become essential. The denoising steps of diffusion models serves as a key concept to generate image from noise, and also acts as a key bottleneck for the diffusion model's

#NeurIPS2025 #reviewingstatus Dear reviewers of NeurIPS Conference , today is the deadline to submit your reviews. Please do so asap. Reviewing responsibility should be evaluated more strictly for such conferences to maintain good quality and timely reviews! here is a snippet of

It gives me a pleasant surprise to be recognized as one of the three young investigators of 2024 (award year #IJCNN2025) as conferred by the INNS Congratulations to the other recipients sijia.liu and @ Bo Han Now its time to go back to the black screen and meetings

We're excited to announce a second physical location for NeurIPS 2025, in Mexico City. By expanding our physical locations, we hope to address concerns around skyrocketing attendance and difficulties in obtaining travel visas that some attendees have experienced in the past few

After hitting evaluation puzzles like this in our own work, we analyzed patterns across LLM inference papers and identified 8 systematic evaluation issues that can make performance comparisons misleading. We have compiled a practical evaluation checklist to help avoid these

#NeurIPS2025 We had been working towards a new sampling method for LLMs autoregressive token generation, particularly to **push the boundary of** creativity-coherence balance!! Happy to get some initial success that we published as a paper here, in our recently accepted