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ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs
In the midst of widespread misinformation and disinformation through social media and the proliferation of AI-generated texts, it has become increasingly difficult for people to validate and trust information they encounter.
Developing a Framework for Auditing Large Language Models Using Human-in-the-Loop
An effective method is to probe the LLM using different versions of the same question.
AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach
Probing LLMs with varied iterations of a single question could reveal potential inconsistencies in their knowledge or functionality.
What is Lost in Knowledge Distillation?
Deep neural networks (DNNs) have improved NLP tasks significantly, but training and maintaining such networks could be costly.
Training Mixed-Domain Translation Models via Federated Learning
Training mixed-domain translation models is a complex task that demands tailored architectures and costly data preparation techniques.
Communication-Efficient Federated Learning for Neural Machine Translation
These new components are placed in between original layers.
