Copertina

Crowd-PrefRL: Preference-Based Reward Learning from Crowds

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chhan, David, Novoseller, Ellen, Lawhern, Vernon J.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Human-Computer Interaction Machine Learning Social and Information Networks
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods
di: Hasan, Md Rakibul, et al.
Pubblicazione: (2023)

Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction
di: Lu, Hsiao-Ying, et al.
Pubblicazione: (2023)

Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behavior
di: Peters, Heinrich, et al.
Pubblicazione: (2024)

A Visual Analytics Design for Connecting Healthcare Team Communication to Patient Outcomes
di: Lu, Hsiao-Ying, et al.
Pubblicazione: (2024)

Mitigating Biases in Collective Decision-Making: Enhancing Performance in the Face of Fake News
di: Abels, Axel, et al.
Pubblicazione: (2024)

Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories
di: Jin, Yiqiao, et al.
Pubblicazione: (2024)

Emotion Alignment: Discovering the Gap Between Social Media and Real-World Sentiments in Persian Tweets and Images
di: Elahimanesh, Sina, et al.
Pubblicazione: (2025)

Mitigating Cognitive Biases in Multi-Criteria Crowd Assessment
di: Ito, Shun, et al.
Pubblicazione: (2024)

Graph Enhanced Reinforcement Learning for Effective Group Formation in Collaborative Problem Solving
di: Fang, Zheng, et al.
Pubblicazione: (2024)

Catalyzing Social Interactions in Mixed Reality using ML Recommendation Systems
di: Srivastava, Sparsh, et al.
Pubblicazione: (2024)

Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds
di: Li, Shikun, et al.
Pubblicazione: (2023)

"It Might be Technically Impressive, But It's Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry
di: Xiao, Qing, et al.
Pubblicazione: (2024)

Are Open-Weight LLMs Ready for Social Media Moderation? A Comparative Study on Bluesky
di: Chou, Hsuan-Yu, et al.
Pubblicazione: (2026)

Coupled Confusion Correction: Learning from Crowds with Sparse Annotations
di: Zhang, Hansong, et al.
Pubblicazione: (2023)

Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations
di: Li, Jiyi
Pubblicazione: (2024)

Deliberate Exposure to Opposing Views and its Association with Behavior and Rewards on Political Communities
di: Efstratiou, Alexandros
Pubblicazione: (2024)

Crowd-SFT: Crowdsourcing for LLM Alignment
di: Sotiropoulos, Alex, et al.
Pubblicazione: (2025)

CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models
di: Zhang, Yanming, et al.
Pubblicazione: (2024)

Context-Aware Prediction of User Engagement on Online Social Platforms
di: Peters, Heinrich, et al.
Pubblicazione: (2023)

Humanwashing -- It Should Leave You Feeling Dirty
di: Wilson, Ben, et al.
Pubblicazione: (2026)

Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach
di: Zhan, Zhongwei, et al.
Pubblicazione: (2023)

Causal Discovery Should Embrace the Wisdom of the Crowd
di: Lin, Ryan Feng, et al.
Pubblicazione: (2026)

Understanding the Gap Between Stated and Revealed Preferences in News Curation: A Study of Young Adult Social Media Users
di: Kim, Do Won, et al.
Pubblicazione: (2026)

Scalable Interactive Machine Learning for Future Command and Control
di: Madison, Anna, et al.
Pubblicazione: (2024)

Personality-Enhanced Social Recommendations in SAMI: Exploring the Role of Personality Detection in Matchmaking
di: Harbison, Brittany, et al.
Pubblicazione: (2025)

User Preferences for Large Language Model versus Template-Based Explanations of Movie Recommendations: A Pilot Study
di: Albert, Julien, et al.
Pubblicazione: (2024)

Detection and Characterization of Coordinated Online Behavior: A Survey
di: Mannocci, Lorenzo, et al.
Pubblicazione: (2024)

Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs
di: Esposito, Naomi, et al.
Pubblicazione: (2026)

Queuing for Civility: Regulating Emotions and Reducing Toxicity in Digital Discourse
di: Verma, Akriti, et al.
Pubblicazione: (2025)

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text
di: Franchini, Sebastiano, et al.
Pubblicazione: (2026)

Multimodal Coordinated Online Behavior: Trade-offs and Strategies
di: Mannocci, Lorenzo, et al.
Pubblicazione: (2025)

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies
di: Carrillo, Alexis, et al.
Pubblicazione: (2026)

Learning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs
di: Musaffar, Abed Kareem, et al.
Pubblicazione: (2025)

Learning from Crowds with Crowd-Kit
di: Ustalov, Dmitry, et al.
Pubblicazione: (2021)

Hindsight PRIORs for Reward Learning from Human Preferences
di: Verma, Mudit, et al.
Pubblicazione: (2024)

USE: Dynamic User Modeling with Stateful Sequence Models
di: Zhou, Zhihan, et al.
Pubblicazione: (2024)

Social MediARverse Investigating Users Social Media Content Sharing and Consuming Intentions with Location-Based AR
di: Hirsch, Linda, et al.
Pubblicazione: (2024)

Community Analysis of Social Virtual Reality Based on Large-Scale Log Data of a Commercial Metaverse Platform
di: Tsutsui, Hiroto, et al.
Pubblicazione: (2025)

Effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia
di: TeBlunthuis, Nathan, et al.
Pubblicazione: (2020)

Self-regulated Learning Processes in Secondary Education: A Network Analysis of Trace-based Measures
di: Cheng, Yixin, et al.
Pubblicazione: (2024)