Human Relationship

Human relationships are a multifaceted area of study encompassing diverse aspects from interpersonal dynamics to the development of AI models capable of understanding and simulating them. Current research focuses on improving the accessibility of online relationship platforms, analyzing the role of bias and uncertainty in AI models' representation of relationships, and exploring the connections between various machine learning architectures (e.g., transformers, recurrent networks, probabilistic circuits) and their ability to model relational data. These investigations are significant for advancing our understanding of human interaction and for developing more robust and equitable AI systems that can better support and reflect human relationships.

Papers

March 18, 2024

Towards Understanding the Relationship between In-context Learning and Compositional Generalization
Sungjun Han, Sebastian Padó
Strong Generalization Context Learning Inductive Bias Compositional Generalization Human Relationship

February 20, 2024

Explaining Relationships Among Research Papers
Xiangci Li, Jessica Ouyang
Human Relationship Literature Review Short Paper Research Paper Multiple Citation

February 19, 2024

On the relationship between speech and hearing
Srinivasan Umesh, Leon Cohen, Douglas Nelson
Speech Analysis High Similarity Speech Data Human Relationship Speech Production Spoken Language Assessment

February 14, 2024

January 10, 2024

Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation
Ian Stewart, Rada Mihalcea
Machine Translation Absolute Stance Bias Human Relationship Gender Information Encode Bias

December 27, 2023

Relationship between auditory and semantic entrainment using Deep Neural Networks (DNN)
Jay Kejriwal, Štefan Beňuš
Deep Neural Network Human Relationship Semantic Feature Linguistic Entrainment F0 Entrainment

December 19, 2023

Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning
Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck
Machine Learning Human Relationship Vegetation Index Soil Temperature

December 4, 2023

MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation
Fenghe Tang, Bingkun Nian, Jianrui Ding, Quan Quan, Jie Yang, Wei Liu, S. Kevin Zhou
Vision Transformer Transformer Based Medical Image Segmentation Human Relationship Light Weight Lightweight CNN Transformer

November 27, 2023

Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence
Svetlana Pavlitska, Hannes Grolig, J. Marius Zöllner
Adversarial Robustness Narrative Review Model Compression Evidence Piece Human Relationship Deep Learning Network Model Capacity

November 20, 2023

On the Relationship Between Interpretability and Explainability in Machine Learning
Benjamin Leblanc, Pascal Germain
Machine Learning Inherent Interpretability High Explainability Human Relationship Explainability Technique Explainability Tool

November 17, 2023

November 14, 2023

On The Relationship Between Universal Adversarial Attacks And Sparse Representations
Dana Weitzner, Raja Giryes
Adversarial Attack Adversarial Example Human Relationship Sparse Representation Universal Adversarial

November 6, 2023

CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding
Junyan Li, Delin Chen, Yining Hong, Zhenfang Chen, Peihao Chen, Yikang Shen, Chuang Gan
Vision Language Task Human Relationship Language Representation Decoder Only Large Language Model Visual Entity

November 1, 2023

Couples can be tractable: New algorithms and hardness results for the Hospitals / Residents problem with Couples
Gergely Csáji, David Manlove, Iain McBride, James Trimble
Polynomial Time Human Relationship Right Problem Hardness Result Healthcare Facility New Algorithm Stable Matching

October 17, 2023

The Quo Vadis of the Relationship between Language and Large Language Models
Evelina Leivada, Vittoria Dentella, Elliot Murphy
Artificial Intelligence Natural Language Processing Human Language Human Relationship Scientific Model

October 12, 2023

Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability
Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
Context Learning Human Attention Context Example Human Relationship Model Architecture Context Learning Ability Context Learner

October 11, 2023

On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models
Thilini Wijesiriwardene, Ruwan Wickramarachchi, Aishwarya Naresh Reganti, Vinija Jain, Aman Chadha, Amit Sheth, Amitava Das
Human Relationship Semantic Structure Visual Analogy Analogy Identification Word Analogy

September 22, 2023

Decoding Emotional Experiences in Dyadic Conversations of Married Couples: Leveraging Semantic Similarity through Sentence Embedding
Chen-Wei Yu, Yun-Shiuan Chuang, Alexandros N. Lotsos, Claudia M. Haase
Sentence Embeddings Semantic Similarity Human Relationship Input Sentence Emotional Stimulus Speech Interaction Dyadic Conversation

Human Relationship

Papers

Towards Understanding the Relationship between In-context Learning and Compositional Generalization

Explaining Relationships Among Research Papers

On the relationship between speech and hearing

Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions

Crop and Couple: cardiac image segmentation using interlinked specialist networks

Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation

Relationship between auditory and semantic entrainment using Deep Neural Networks (DNN)

Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning

MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation

Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence

On the Relationship Between Interpretability and Explainability in Machine Learning

Chatbots as social companions: How people perceive consciousness, human likeness, and social health benefits in machines

Exploring the Relationship between In-Context Learning and Instruction Tuning

On The Relationship Between Universal Adversarial Attacks And Sparse Representations

CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding

Couples can be tractable: New algorithms and hardness results for the Hospitals / Residents problem with Couples

The Quo Vadis of the Relationship between Language and Large Language Models

Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability

On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models

Decoding Emotional Experiences in Dyadic Conversations of Married Couples: Leveraging Semantic Similarity through Sentence Embedding