2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
Prompt Compression in Production Task Orchestration: A Pre-Registered Randomized Trial
Warren Johnson, Charles Lee
The economics of prompt compression depend not only on reducing input tokens but on how compression changes output length, which is typically priced several times higher. We evalua…
NaRLE: Natural Language Models using Reinforcement Learning with Emotion Feedback
Ruijie Zhou, Soham Deshmukh, Jeremiah Greer +1
Current research in dialogue systems is focused on conversational assistants working on short conversations in either task-oriented or open domain settings. In this paper, we focus…
To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints
Barun Patra, Chala Fufa, Pamela Bhattacharya +1
State of the art research for date-time entity extraction from text is task agnostic. Consequently, while the methods proposed in literature perform well for generic date-time extr…
ScopeIt: Scoping Task Relevant Sentences in Documents
Vishwas Suryanarayanan, Barun Patra, Pamela Bhattacharya +2
Intelligent assistants like Cortana, Siri, Alexa, and Google Assistant are trained to parse information when the conversation is synchronous and short; however, for email-based con…