46 citations · 59 across the 5 of their papers we have counts for
5 papers
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
Fan Zhou, Chen Pan, Lintao Ma +9
Time series forecasts of different temporal granularity are widely used in real-world applications, e.g., sales prediction in days and weeks for making different inventory plans. H…
Transcrib3D: 3D Referring Expression Resolution through Large Language Models
Jiading Fang, Xiangshan Tan, Shengjie Lin +6
If robots are to work effectively alongside people, they must be able to interpret natural language references to objects in their 3D environment. Understanding 3D referring expres…
Autoregressive Modeling with Lookahead Attention
Li Du, Hongyuan Mei, Jason Eisner
To predict the next token, autoregressive models ordinarily examine the past. Could they also benefit from also examining hypothetical futures? We consider a novel Transformer-base…
Transformer Embeddings of Irregularly Spaced Events and Their Participants
Chenghao Yang, Hongyuan Mei, Jason Eisner
The neural Hawkes process (Mei & Eisner, 2017) is a generative model of irregularly spaced sequences of discrete events. To handle complex domains with many event types, Mei et al.…
Coherent Dialogue with Attention-based Language Models
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
We model coherent conversation continuation via RNN-based dialogue models equipped with a dynamic attention mechanism. Our attention-RNN language model dynamically increases the sc…