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Found 7 papers, 5 papers with code
E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models
Given that real-world environments are inherently stochastic, initial plans based solely on LLMs' general knowledge may fail to achieve their objectives, unlike in static scenarios.
DEBATE: Devil's Advocate-Based Assessment and Text Evaluation
In this work, we propose DEBATE, an NLG evaluation framework based on multi-agent scoring system augmented with a concept of Devil's Advocate.
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework
With the growing volume of diverse information, the demand for classifying arbitrary topics has become increasingly critical.
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
It is designed to incorporate a novel memory module that can learn the degree to which each memory item should be updated in response to the input data.
Graph Similarities and Dual Approach for Sequential Text-to-Image Retrieval
We set a video captioning as a dual learning task that reconstructs the input story from the sampled image sequence.
A Robotic Dating Coaching System Leveraging Online Communities Posts
Can a robot be a personal dating coach?
KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks
As a vast number of ingredients exist in the culinary world, there are countless food ingredient pairings, but only a small number of pairings have been adopted by chefs and studied by food researchers.
