Scope Sensitive

"Scope," in various scientific contexts, refers to the relevant information or context considered for a given task, impacting accuracy and efficiency. Current research focuses on improving scope handling in diverse areas, including natural language processing (using LLMs and graph neural networks to refine context awareness), machine learning (developing algorithms to optimize data usage and mitigate biases stemming from limited scope), and computer systems (designing resource managers for safe and efficient exploration of operational parameters). These advancements have significant implications for improving the performance and reliability of AI systems across numerous applications, from medical diagnosis to environmental impact assessment.

Papers

October 28, 2024

Reducing the Scope of Language Models with Circuit Breakers
David Yunis, Siyu Huo, Chulaka Gunasekara, Danish Contractor
Language Model Fine Grained Sentiment Analysis Scope Sensitive Relevant Question

October 2, 2024

Unifying the Scope of Bridging Anaphora Types in English: Bridging Annotations in ARRAU and GUM
Lauren Levine, Amir Zeldes
Bridging Text Annotated Chapter Information Coreference Information Scope Sensitive Textual Domain Annotation Schema

September 2, 2024

SCOPE: Sign Language Contextual Processing with Embedding from LLMs
Yuqi Liu, Wenqian Zhang, Sihan Ren, Chengyu Huang, Jingyi Yu, Lan Xu
Medical LLM Sign Language Sign Language Recognition Scope Sensitive

August 21, 2024

Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation
Ajay Chatterjee, Srikanth Ranganathan
Representation Learning Assembly Task Scope Sensitive Manual Effort Manufacturing Process Climate Change Impact Emission Reporting

July 15, 2024

Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation
Zhoutian Shao, Yuanning Cui, Wei Hu
Knowledge Graph Information Propagation Scope Sensitive KG Reasoning Progressive Propagation

July 4, 2024

Generative Technology for Human Emotion Recognition: A Scope Review
Fei Ma, Yucheng Yuan, Yifan Xie, Hongwei Ren, Ivan Liu, Ying He, Fuji Ren, Fei Richard Yu, Shiguang Ni
Emotion Recognition Affective Computing Scope Sensitive Emotion Embeddings Generative Technology

June 28, 2024

SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation
Zhanteng Xie, Philip Dames
Mobile Robot Safe Navigation Scope Sensitive Uncertainty Aware Navigation Stochastic Prediction

June 7, 2024

The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks
Sandesh Kamath, Albin Soutif-Cormerais, Joost van de Weijer, Bogdan Raducanu
Continual LEArning Stochastic Gradient Descent Speech Presence Scope Sensitive Energy Efficient Training

May 2, 2024

Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs
Jiangce Chen, Wenzhuo Xu, Zeda Xu, Noelia Grande Gutiérrez, Sneha Prabha Narra, Christopher McComb
Specie Evolution Fourier Neural Operator Scope Sensitive Time Dependent Partial Differential Equation Direct Numerical Simulation

April 10, 2024

An inclusive review on deep learning techniques and their scope in handwriting recognition
Sukhdeep Singh, Sudhir Rohilla, Anuj Sharma
Deep Learning Comprehensive Review Barzilai Borwein Technique Handwriting Recognition Scope Sensitive

March 6, 2024

From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models
Luiza Pozzobon, Patrick Lewis, Sara Hooker, Beyza Ermis
Language Model Multilingual Capability Scope Sensitive Toxicity Mitigation

March 5, 2024

Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse
Joseph Gatto, Madhusudan Basak, Yash Srivastava, Philip Bohlman, Sarah M. Preum
Stance Detection Scope Sensitive Opinion Mining Zero Shot Stance Detection Online Health

November 30, 2023

SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation
Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito
Offline Reinforcement Learning Policy Evaluation Policy Learning Python Library Scope Sensitive Offline RL

September 17, 2023

A novel approach to measuring the scope of patent claims based on probabilities obtained from (large) language models
Sébastien Ragot
Language Model Novel Approach Self Information Patent Text Relative Probability Scope Sensitive

August 18, 2023

Scope is all you need: Transforming LLMs for HPC Code
Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Abdul Wasay, Nesreen Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy Mattson, Gal Oren
High Performance Computing Larger Language Model Scope Sensitive Domain Specific Large Language Model Speech Token

August 8, 2023

Scope Loss for Imbalanced Classification and RL Exploration
Hasham Burhani, Xiao Qi Shi, Jonathan Jaegerman, Daniel Balicki
Reinforcement Learning Loss Function Reinforcement Learning Benchmark Imbalanced Classification Scope Sensitive Reinforcement Learning Problem

June 8, 2023

Expanding Scope: Adapting English Adversarial Attacks to Chinese
Hanyu Liu, Chengyuan Cai, Yanjun Qi
Adversarial Attack Adversarial Example Chinese Character Scope Sensitive

May 24, 2023

Machine Unlearning: its nature, scope, and importance for a "delete culture"
Luciano Floridi
Machine Learning Machine Learning Model Machine Unlearning Importance Aware Landscape Image Scope Sensitive Digital Age Long Form Deletion

April 28, 2023

SCOPE: Structural Continuity Preservation for Medical Image Segmentation
Yousef Yeganeh, Azade Farshad, Goktug Guevercin, Amr Abu-zer, Rui Xiao, Yongjian Tang, Ehsan Adeli, Nassir Navab
Medical Image Segmentation Segmentation Model Retinal Vessel Segmentation Scope Sensitive Shape Information Human Topology

April 22, 2023

Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Neural Architecture Search Bayesian Optimization Black Box Function Scope Sensitive High Dimensional Bayesian Optimization Random Subspace Linear Subspace

Scope Sensitive

Papers

Reducing the Scope of Language Models with Circuit Breakers

Unifying the Scope of Bridging Anaphora Types in English: Bridging Annotations in ARRAU and GUM

SCOPE: Sign Language Contextual Processing with Embedding from LLMs

Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation

Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation

Generative Technology for Human Emotion Recognition: A Scope Review

SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation

The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks

Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs

An inclusive review on deep learning techniques and their scope in handwriting recognition

From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models

Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse

SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation

A novel approach to measuring the scope of patent claims based on probabilities obtained from (large) language models

Scope is all you need: Transforming LLMs for HPC Code

Scope Loss for Imbalanced Classification and RL Exploration

Expanding Scope: Adapting English Adversarial Attacks to Chinese

Machine Unlearning: its nature, scope, and importance for a "delete culture"

SCOPE: Structural Continuity Preservation for Medical Image Segmentation

Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces