Recent efforts have incorporated large language models (LLMs) with exter...
Recent Serverless workloads tend to be largescaled/CPU-memory intensive,...
Text generation under constraints have seen increasing interests in natu...
Humans write code in a fundamentally interactive manner and rely on cons...
We propose Referral-Augmented Retrieval (RAR), a simple technique that
c...
Language models are increasingly being deployed for general problem solv...
Comprehending characters' personalities is a crucial aspect of story rea...
Embodied control requires agents to leverage multi-modal pre-training to...
Text games present opportunities for natural language understanding (NLU...
While large language models (LLMs) have demonstrated impressive capabili...
Existing benchmarks for grounding language in interactive environments e...
We propose a new task for assessing machines' skills of understanding
fi...
Conversation is an essential component of virtual avatar activities in t...
Text adventure games present unique challenges to reinforcement learning...
While recent advances in deep neural networks have made it possible to r...
Despite their impressive performance in NLP, self-attention networks wer...
Text-based games simulate worlds and interact with players using natural...
Text-based games present a unique challenge for autonomous agents to ope...
For a graph G= (V,E), a double Roman dominating function (DRDF) is a
fun...
We aim to obtain an interpretable, expressive and disentangled scene
rep...