Progressive Multi-task Anti-Noise Learning and Distilling Frameworks for Fine-grained Vehicle Recognition
The study introduces two frameworks, the Progressive Multi-task Anti-noise Learning (PMAL) and Progressive Multi-task Distilling (PMD), to…
The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support
This study investigates the lived experiences of people who have used large language model (LLM) chatbots for…
Genie: Achieving Human Parity in Content-Grounded Datasets Generation
The Genie method, proposed by researchers at IBM Israel Research Lab, Hebrew University of Jerusalem, and MIT,…
Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input
The study presents an experimental validation of an optimization technique for reservoir computing using an optoelectronic setup….
TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation
The paper presents TURNA, a language model designed for the low-resource language Turkish. The model is capable…
Adaptive Mobile Manipulation for Articulated Objects In the Open World
The study presents the Open-World Mobile Manipulation System. This system enables robots to interact with articulated objects…
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
This article presents a novel methodology named Multimodal Pathway which aims to improve transformers using irrelevant data…
AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems
This paper presents AlphaMapleSAT, a new Cube-and-Conquer (CnC) SAT solving method based on Monte Carlo Tree Search…
Domain-Independent Dynamic Programming
The article presents a new model-based paradigm, Domain-Independent Dynamic Programming (DIDP), designed to solve combinatorial optimization problems….
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse
This academic article presents a new approach to counterfactual reasoning in fairness and recourse within artificial intelligence…