conftrace_

task generalization

63 papers

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Co-occurring keywords

few-shot learning (3398) transfer learning (5449) zero-shot learning (3650) large language model (13587) in-context learning (1405) multi-task learning (2575) instruction tuning (838) language model (4599) meta-reinforcement learning (61) instruction following (396)

Papers

UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models WACV 2026
To What Extent Can In-Context Learning Solve Unseen Tasks? IJCNLP 2025
Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings ACL 2025
Assimilation and Accommodation: Task-Adaptive Hierarchical Abstraction for Solving Web Tasks ACL 2025
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations ACL 2025
IDEA-Bench: How Far are Generative Models from Professional Designing? CVPR 2025
Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks? ICML 2025
PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization ACL 2025
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning ICCV 2025
A Survey of Generative Information Extraction COLING 2025
ExpeTrans: LLMs Are Experiential Transfer Learners ACL 2025
To What Extent Can In-Context Learning Solve Unseen Tasks? AACL 2025
Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization ACL 2025
NICE: To Optimize In-Context Examples or Not? ACL 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NIPS 2024
Interactive Visual Task Learning for Robots AAAI 2024
Synthesizing Programmatic Policy for Generalization within Task Domain IJCAI 2024
What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL 2024
Instruct-Imagen: Image Generation with Multi-modal Instruction CVPR 2024
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks EMNLP 2024
SMART: Submodular Data Mixture Strategy for Instruction Tuning ACL 2024
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks CVPR 2024
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing EMNLP 2024
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners EMNLP 2024
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization ICML 2023