:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Naini, Abinay Reddy, Diaz, Fernando, Busso, Carlos
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2508.09826
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Recovering Performance in Speech Emotion Recognition from Discrete Tokens via Multi-Layer Fusion and Paralinguistic Feature Integration
by: Sun, Esther, et al.
Published: (2026)

ADEPT: RL-Aligned Agentic Decoding of Emotion via Evidence Probing Tools -- From Consensus Learning to Ambiguity-Driven Emotion Reasoning
by: Sun, Esther, et al.
Published: (2026)

Can Emotion Fool Anti-spoofing?
by: Mahapatra, Aurosweta, et al.
Published: (2025)

Self-Supervised Learning-Based Multimodal Prediction on Prosocial Behavior Intentions
by: Naini, Abinay Reddy, et al.
Published: (2025)

LiPO: Listwise Preference Optimization through Learning-to-Rank
by: Liu, Tianqi, et al.
Published: (2024)

Holistic Utility Preference Learning for Listwise Alignment
by: Zhou, Jiacong, et al.
Published: (2024)

MSP-Conversation: A Corpus for Naturalistic, Time-Continuous Emotion Recognition
by: Martinez-Lucas, Luz, et al.
Published: (2026)

Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
by: Choi, Heewoong, et al.
Published: (2024)

Listwise Direct Preference Optimization with Multi-Dimensional Preference Mixing
by: Sun, Yuhui, et al.
Published: (2025)

Listwise Preference Alignment Optimization for Tail Item Recommendation
by: Li, Zihao, et al.
Published: (2025)

Preference Learning Algorithms Do Not Learn Preference Rankings
by: Chen, Angelica, et al.
Published: (2024)

Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models
by: Wang, Austin, et al.
Published: (2026)

Rank Aggregation in Crowdsourcing for Listwise Annotations
by: Luo, Wenshui, et al.
Published: (2024)

Learning Preference from Observed Rankings
by: Chen, Yu-Chang, et al.
Published: (2026)

In-context Ranking Preference Optimization
by: Wu, Junda, et al.
Published: (2025)

Calibrated Preference Learning: The Case of Label Ranking
by: Thies, Santo M. A. R., et al.
Published: (2026)

AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning
by: Xu, Fan, et al.
Published: (2026)

Quo Vadis RankList-based System in Face Recognition?
by: Zhang, Xinyi, et al.
Published: (2024)

Evaluating Feature Dependent Noise in Preference-based Reinforcement Learning
by: Li, Yuxuan, et al.
Published: (2026)

Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences
by: Liu, Ziang, et al.
Published: (2024)

Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking
by: Ren, Jie, et al.
Published: (2025)

Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
by: Dimitriadis, Nikolaos, et al.
Published: (2024)

Preference-Based Dynamic Ranking Structure Recognition
by: Lu, Nan, et al.
Published: (2025)

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast
by: Chandra, Shreeram Suresh, et al.
Published: (2025)

Fair Active Ranking from Pairwise Preferences
by: Gorantla, Sruthi, et al.
Published: (2024)

ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning
by: Kaufmann, Timo, et al.
Published: (2025)

Expert with Clustering: Hierarchical Online Preference Learning Framework
by: Zhou, Tianyue, et al.
Published: (2024)

Multi-Response Preference Optimization with Augmented Ranking Dataset
by: Gwon, Hansle, et al.
Published: (2024)

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2024)

Predictive Preference Learning from Human Interventions
by: Cai, Haoyuan, et al.
Published: (2025)

A Flexible Framework for Incorporating Patient Preferences Into Q-Learning
by: Zitovsky, Joshua P., et al.
Published: (2023)

AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
by: Yoon, Soyoung, et al.
Published: (2025)

Policy-labeled Preference Learning: Is Preference Enough for RLHF?
by: Cho, Taehyun, et al.
Published: (2025)

Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning
by: Ghosh, Udita, et al.
Published: (2025)

Direct Preference Optimization With Unobserved Preference Heterogeneity: The Necessity of Ternary Preferences
by: Chidambaram, Keertana, et al.
Published: (2024)

Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences
by: Pattnaik, Pulkit, et al.
Published: (2024)

Preference Construction: A Bayesian Interactive Preference Elicitation Framework Based on Monte Carlo Tree Search
by: Wang, Yan, et al.
Published: (2025)

PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
by: Chen, Daiwei, et al.
Published: (2024)

Debiasing Online Preference Learning via Preference Feature Preservation
by: Kim, Dongyoung, et al.
Published: (2025)

Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models
by: Tang, Raphael, et al.
Published: (2023)