Cover Image

OTTER: Effortless Label Distribution Adaptation of Zero-shot Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shin, Changho, Zhao, Jitian, Cromp, Sonia, Vishwakarma, Harit, Sala, Frederic
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zero-Shot Robustification of Zero-Shot Models
by: Adila, Dyah, et al.
Published: (2023)

Time To Impeach LLM-as-a-Judge: Programs are the Future of Evaluation
by: Huang, Tzu-Heng, et al.
Published: (2025)

CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
by: Zhao, Jitian, et al.
Published: (2026)

Promises and Pitfalls of Threshold-based Auto-labeling
by: Vishwakarma, Harit, et al.
Published: (2022)

Weak-to-Strong Generalization Through the Data-Centric Lens
by: Shin, Changho, et al.
Published: (2024)

Quantifying Structure in CLIP Embeddings: A Statistical Framework for Concept Interpretation
by: Zhao, Jitian, et al.
Published: (2025)

Taming False Positives in Out-of-Distribution Detection with Human Feedback
by: Vishwakarma, Harit, et al.
Published: (2024)

Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection
by: Yamada, Daisuke, et al.
Published: (2025)

Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes
by: Bauer, Justin, et al.
Published: (2026)

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
by: Vishwakarma, Harit, et al.
Published: (2024)

Effortless Active Labeling for Long-Term Test-Time Adaptation
by: Wang, Guowei, et al.
Published: (2025)

MoRe Fine-Tuning with 10x Fewer Parameters
by: Tan, Wenxuan, et al.
Published: (2024)

COSMOS: Predictable and Cost-Effective Adaptation of LLMs
by: Wang, Jiayu, et al.
Published: (2025)

Pretrained Hybrids with MAD Skills
by: Roberts, Nicholas, et al.
Published: (2024)

Causal Spherical Hypergraph Networks for Modelling Social Uncertainty
by: Harit, Anoushka, et al.
Published: (2025)

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation
by: Zhang, Xuan, et al.
Published: (2024)

Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
by: Vishwakarma, Harit, et al.
Published: (2024)

Zero-shot Concept Bottleneck Models
by: Yamaguchi, Shin'ya, et al.
Published: (2025)

On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
by: Fan, Chenghao, et al.
Published: (2024)

From Haystack to Needle: Label Space Reduction for Zero-shot Classification
by: Vandemoortele, Nathan, et al.
Published: (2025)

Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning
by: Sun, Zhongtian, et al.
Published: (2025)

RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
by: Sun, Zhongtian, et al.
Published: (2025)

The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators
by: Huang, Tzu-Heng, et al.
Published: (2024)

Evaluating Language Model Context Windows: A "Working Memory" Test and Inference-time Correction
by: Dsouza, Amanda, et al.
Published: (2024)

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings
by: Ravindra, Neal G., et al.
Published: (2025)

A Foundation Model for Zero-shot Logical Query Reasoning
by: Galkin, Mikhail, et al.
Published: (2024)

Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts
by: Zhao, Xinyu, et al.
Published: (2026)

Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
by: Fu, Xinghong, et al.
Published: (2026)

Personalize Your LLM: Fake it then Align it
by: Zhang, Yijing, et al.
Published: (2025)

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2025)

ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations
by: Harit, Anoushka, et al.
Published: (2025)

Zero-shot Imitation Learning by Latent Topology Mapping
by: Jacobson, Maxwell J., et al.
Published: (2026)

Enhancing Semi-supervised Learning with Zero-shot Pseudolabels
by: Chung, Jichan, et al.
Published: (2025)

Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs
by: Harit, Anoushka, et al.
Published: (2024)

SIDA: Synthetic Image Driven Zero-shot Domain Adaptation
by: Kim, Ye-Chan, et al.
Published: (2025)

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
by: Cheng, Xiang, et al.
Published: (2025)

ScriptoriumWS: A Code Generation Assistant for Weak Supervision
by: Huang, Tzu-Heng, et al.
Published: (2025)

Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
by: Wang, Hui-Po, et al.
Published: (2024)

Optimal partition of feature using Bayesian classifier
by: Vishwakarma, Sanjay, et al.
Published: (2023)

Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
by: Chen, Zixiang, et al.
Published: (2023)