Copertina

Humanline: Online Alignment as Perceptual Loss

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Sijia, Muennighoff, Niklas, Ethayarajh, Kawin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

KTO: Model Alignment as Prospect Theoretic Optimization
di: Ethayarajh, Kawin, et al.
Pubblicazione: (2024)

Mecha-nudges for Machines
di: Frey, Giulio, et al.
Pubblicazione: (2026)

Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
di: Ethayarajh, Kawin, et al.
Pubblicazione: (2021)

CP Loss: Channel-wise Perceptual Loss for Time Series Forecasting
di: Zha, Yaohua, et al.
Pubblicazione: (2026)

The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
di: Enevoldsen, Kenneth, et al.
Pubblicazione: (2024)

LeakBoost: Perceptual-Loss-Based Membership Inference Attack
di: Taub, Amit Kravchik, et al.
Pubblicazione: (2026)

Diffusion Model with Perceptual Loss
di: Lin, Shanchuan, et al.
Pubblicazione: (2023)

Whose Alignment? Comparing LLM Process Alignment Across Diverse Organizational Decision Contexts
di: Weller, Niklas, et al.
Pubblicazione: (2026)

LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation
di: Kim, Eunsu, et al.
Pubblicazione: (2024)

Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Summaries
di: Mayilvaghanan, Kawin, et al.
Pubblicazione: (2025)

C-Pack: Packed Resources For General Chinese Embeddings
di: Xiao, Shitao, et al.
Pubblicazione: (2023)

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability
di: Wei, Chen, et al.
Pubblicazione: (2025)

PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement
di: Ayalew, Tewodros, et al.
Pubblicazione: (2024)

RegMix: Data Mixture as Regression for Language Model Pre-training
di: Liu, Qian, et al.
Pubblicazione: (2024)

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
di: Tao, Chaofan, et al.
Pubblicazione: (2024)

DMA: Online RAG Alignment with Human Feedback
di: Bai, Yu, et al.
Pubblicazione: (2025)

Anchor Points: Benchmarking Models with Much Fewer Examples
di: Vivek, Rajan, et al.
Pubblicazione: (2023)

Safety-Preserving PTQ via Contrastive Alignment Loss
di: Wee, Sunghyun, et al.
Pubblicazione: (2025)

Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models
di: Zhuo, Terry Yue, et al.
Pubblicazione: (2024)

Data Checklist: On Unit-Testing Datasets with Usable Information
di: Zhang, Heidi C., et al.
Pubblicazione: (2024)

Perceptual Influence: Improving the Perceptual Loss Design for Low-Dose CT Enhancement
di: Viana, Gabriel A., et al.
Pubblicazione: (2025)

Generative Representational Instruction Tuning
di: Muennighoff, Niklas, et al.
Pubblicazione: (2024)

Towards Unifying Perceptual Reasoning and Logical Reasoning
di: Kido, Hiroyuki
Pubblicazione: (2022)

OctoPack: Instruction Tuning Code Large Language Models
di: Muennighoff, Niklas, et al.
Pubblicazione: (2023)

A Principled Loss Function for Direct Language Model Alignment
di: Tan, Yuandong
Pubblicazione: (2025)

A Cortically Inspired Architecture for Modular Perceptual AI
di: Luthra, Prerna
Pubblicazione: (2026)

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment
di: Zhang, Shenao, et al.
Pubblicazione: (2024)

Steering Frozen LLMs: Adaptive Social Alignment via Online Prompt Routing
di: Zhang, Zeyu, et al.
Pubblicazione: (2026)

HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning
di: Bhattarai, Manish, et al.
Pubblicazione: (2024)

Geometry of Human Perceptual Domains Emerges Transiently in LLM Representations
di: Singh, Simardeep, et al.
Pubblicazione: (2026)

Visualizing Critic Match Loss Landscapes for Interpretation of Online Reinforcement Learning Control Algorithms
di: Liu, Jingyi, et al.
Pubblicazione: (2026)

Human Alignment of Large Language Models through Online Preference Optimisation
di: Calandriello, Daniele, et al.
Pubblicazione: (2024)

Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation
di: Zhong, Yisheng, et al.
Pubblicazione: (2026)

TCEval: Using Thermal Comfort to Assess Cognitive and Perceptual Abilities of AI
di: Li, Jingming
Pubblicazione: (2025)

rSIM: Incentivizing Reasoning Capabilities of LLMs via Reinforced Strategy Injection
di: Chen, Sijia, et al.
Pubblicazione: (2025)

Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison
di: Cao, Yuang, et al.
Pubblicazione: (2025)

Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
di: Ma, Yanbiao, et al.
Pubblicazione: (2023)

A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?
di: Zhang, Qiyuan, et al.
Pubblicazione: (2025)

iCLP: Large Language Model Reasoning with Implicit Cognition Latent Planning
di: Chen, Sijia, et al.
Pubblicazione: (2025)

Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction
di: Wang, Sijia, et al.
Pubblicazione: (2024)