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06/30/2023
Statler: State-Maintaining Language Models for Embodied Reasoning
Large language models (LLMs) provide a promising tool that enable robots...
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05/20/2023
Autoregressive Modeling with Lookahead Attention
To predict the next token, autoregressive models ordinarily examine the ...
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04/06/2023
Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions
Large language models (LLMs) such as ChatGPT and GPT-4 have recently dem...
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03/28/2023
Explicit Planning Helps Language Models in Logical Reasoning
Language models have been shown to perform remarkably well on a wide ran...
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10/18/2022
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning
While transferring a pretrained language model, common approaches conven...
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10/04/2022
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
In this paper, we tackle the important yet under-investigated problem of...
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01/29/2022
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
We consider a sequential decision making problem where the agent faces t...
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12/31/2021
Transformer Embeddings of Irregularly Spaced Events and Their Participants
The neural Hawkes process (Mei Eisner, 2017) is a generative model o...
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11/02/2020
Noise-Contrastive Estimation for Multivariate Point Processes
The log-likelihood of a generative model often involves both positive an...
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07/08/2020
Personalized Dynamic Treatment Regimes in Continuous Time: A Bayesian Joint Model for Optimizing Clinical Decisions with Timing
Accurate models of clinical actions and their impacts on disease progres...
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06/30/2020
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification
Learning how to predict future events from patterns of past events is di...
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05/14/2019
Imputing Missing Events in Continuous-Time Event Streams
Events in the world may be caused by other, unobserved events. We consid...
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02/26/2019
On the Idiosyncrasies of the Mandarin Chinese Classifier System
While idiosyncrasies of the Chinese classifier system have been a richly...
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05/21/2018
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction
Cross-lingual information extraction (CLIE) is an important and challeng...
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12/29/2016
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
Many events occur in the world. Some event types are stochastically exci...
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11/21/2016
Coherent Dialogue with Attention-based Language Models
We model coherent conversation continuation via RNN-based dialogue model...
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09/02/2015
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
We propose an end-to-end, domain-independent neural encoder-aligner-deco...
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06/12/2015