Progressive Multi-task Anti-Noise Learning and Distilling Frameworks for Fine-grained Vehicle Recognition
This article presents two frameworks for combating issues with fine-grained vehicle recognition (FGVR) caused by image noise….
The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support
This article investigates the experiences of individuals who have used Large Language Model (LLM) chatbots for mental…
Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels
This article discusses the concept of Autonomous Supply Chains (ASCs), which are being considered as a more…
Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement
The paper presents a novel framework, CAFFEINE, aimed at improving response generation in long-term conversations by refining…
Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda
This research uses text from Reddit and a proposed labeling approach to facilitate the diagnosis of depression…
Improving Natural Language Capability of Code Large Language Model
This academic article discusses a novel framework designed to enhance the natural language capabilities of Code Large…
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models models via Romanization
The paper addresses the challenge of extending Large Language Models (LLMs) to non-English languages, especially those using…
A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bengali Texts
This paper explores the area of sentiment analysis on noisy Bengali texts, a language with limited resources…
Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect
This paper discusses the adaptation of multilingual encoders to Swiss German, a language with dialectal variation and…
TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion
The paper introduces TDFNet, a model for audio-visual speech separation. This technology is significant for applications like…