Industry
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms
Vision transformers have contributed greatly to advancements in the computer vision domain, demonstrating state-of-the-art performance in diverse tasks ( e.g.,
Contextual Bilevel Reinforcement Learning for Incentive Alignment
The optimal policy in various real-world strategic decision-making problems depends both on the environmental configuration and exogenous events.
NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design
Global routing plays a critical role in modern chip design. The routing paths generated by global routers often form a rectilinear Steiner tree (RST).
Do Finetti: on Causal Effects for Exchangeable Data
We study causal effect estimation in a setting where the data are not i.i.d.
Theoretical Foundations of Deep Selective State-Space Models
Similar ideas can be found in recent developments inspired by attention, such as RWKV [Peng et al.,
RK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases Shirley Wu
However, many previous works studied textual and relational retrieval tasks as separate topics.