Search Results for author:
Found 7 papers, 4 papers with code
Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment
The interactive nature of Large Language Models (LLMs) theoretically allows models to refine and improve their answers, yet systematic analysis of the multi-turn behavior of LLMs remains limited.
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems
Making big purchases requires consumers to research or consult a salesperson to gain domain expertise.
XGen-7B Technical Report
Most open-source LLMs, on the other hand, are limited in their ability to support longer sequence lengths, which is a key requirement for many tasks that require inference over an input context.
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions
In a second usability study, we developed and implemented a reading exercise with 95 novice news readers to measure exposure to coverage diversity.
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage
There are many potential benefits to news readers accessing diverse sources.
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation
Question generation (QGen) models are often evaluated with standardized NLG metrics that are based on n-gram overlap.
MixQG: Neural Question Generation with Mixed Answer Types
Asking good questions is an essential ability for both human and machine intelligence.
