CCFC: Bridging Federated Clustering and Contrastive Learning
The paper discusses the development of a new federated clustering method, CCFC. The method combines federated clustering…
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
The article by Misra, Ettinger, and Mahowald investigates the impact of experimental contexts on the robustness of…
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks
The paper titled ‘Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks’ explores the issue of…
LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase
The paper introduces LLMRS, a recommender system based on Large Language Models (LLM), aimed at improving software…
DQNC2S: DQN-based Cross-stream Crisis event Summarizer
This study introduces a new DQN-based Cross-Stream Crisis event Summarizer that addresses the challenges in summarizing multiple…
Exploring Conversational Agents as an Effective Tool for Measuring Cognitive Biases in Decision-Making
The article discusses the role of cognitive biases in decision-making and the need for automated detection of…
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
The article discusses the use of Supervised Finetuning (SFT) on instruction datasets for improving the performance of…
A Closed-form Solution for Weight Optimization in Fully-connected Feed-forward Neural Networks
The article discusses a new method for weight optimization in fully-connected feed-forward neural networks, which uses least…
Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text
This research paper discusses the use of natural language processing (NLP) and AI models for mental health…
Reframing Tax Law Entailment as Analogical Reasoning
The research reframes statutory reasoning as an analogy task, increasing the dataset size and interpretability. The statutory…