Task Expansion and Cross Refinement for Open-World Conditional Modeling
Fuente:
arXiv
Saved in:
| Main Authors: | Brahmavar, Shreyas Bhat, Liu, Qiyang, Li, Yang, Oliva, Junier |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Universal Neural Likelihood Inference
by: Brahmavar, Shreyas Bhat, et al.
Published: (2025)
by: Brahmavar, Shreyas Bhat, et al.
Published: (2025)
Towards Cost Sensitive Decision Making
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Dynamic Information Sub-Selection for Decision Support
by: Huang, Hung-Tien, et al.
Published: (2024)
by: Huang, Hung-Tien, et al.
Published: (2024)
NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data
by: Dinh, Dzung, et al.
Published: (2025)
by: Dinh, Dzung, et al.
Published: (2025)
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification
by: Brahmavar, Shreyas Bhat, et al.
Published: (2023)
by: Brahmavar, Shreyas Bhat, et al.
Published: (2023)
Distribution Guided Active Feature Acquisition
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
SciDER: Scientific Data-centric End-to-end Researcher
by: Lin, Ke, et al.
Published: (2026)
by: Lin, Ke, et al.
Published: (2026)
Cross-Session Decoding of Neural Spiking Data via Task-Conditioned Latent Alignment
by: Zhao, Canyang, et al.
Published: (2026)
by: Zhao, Canyang, et al.
Published: (2026)
Q-learning with Adjoint Matching
by: Li, Qiyang, et al.
Published: (2026)
by: Li, Qiyang, et al.
Published: (2026)
Reliable OOD Virtual Screening with Extrapolatory Pseudo-Label Matching
by: Qu, Yunni, et al.
Published: (2024)
by: Qu, Yunni, et al.
Published: (2024)
Flow Q-Learning
by: Park, Seohong, et al.
Published: (2025)
by: Park, Seohong, et al.
Published: (2025)
Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling
by: Liu, Yu, et al.
Published: (2024)
by: Liu, Yu, et al.
Published: (2024)
Diffusion Transformers as Open-World Spatiotemporal Foundation Models
by: Yuan, Yuan, et al.
Published: (2024)
by: Yuan, Yuan, et al.
Published: (2024)
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learning
by: R, Shreyas S
Published: (2024)
by: R, Shreyas S
Published: (2024)
GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents
by: Wu, Xiongbin, et al.
Published: (2026)
by: Wu, Xiongbin, et al.
Published: (2026)
Open-Source Molecular Processing Pipeline for Generating Molecules
by: Shreyas, V, et al.
Published: (2024)
by: Shreyas, V, et al.
Published: (2024)
Reinforcement Learning with Action Chunking
by: Li, Qiyang, et al.
Published: (2025)
by: Li, Qiyang, et al.
Published: (2025)
Decoupled Q-Chunking
by: Li, Qiyang, et al.
Published: (2025)
by: Li, Qiyang, et al.
Published: (2025)
EXPO: Stable Reinforcement Learning with Expressive Policies
by: Dong, Perry, et al.
Published: (2025)
by: Dong, Perry, et al.
Published: (2025)
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
by: Wilcoxson, Max, et al.
Published: (2024)
by: Wilcoxson, Max, et al.
Published: (2024)
Keep Rehearsing and Refining: Lifelong Learning Vehicle Routing under Continually Drifting Tasks
by: Pei, Jiyuan, et al.
Published: (2026)
by: Pei, Jiyuan, et al.
Published: (2026)
Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance
by: He, Jinmin, et al.
Published: (2025)
by: He, Jinmin, et al.
Published: (2025)
Open-World Test-Time Training: Self-Training with Contrast Learning
by: Su, Houcheng, et al.
Published: (2024)
by: Su, Houcheng, et al.
Published: (2024)
Refinement Provenance Inference: Detecting LLM-Refined Training Prompts from Model Behavior
by: Yin, Bo, et al.
Published: (2026)
by: Yin, Bo, et al.
Published: (2026)
Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion
by: Shan, Siyuan, et al.
Published: (2023)
by: Shan, Siyuan, et al.
Published: (2023)
HiRes: Inspectable Precedent Memory for Reaction Condition Recommendation
by: Sathyanarayana, Shreyas Vinaya, et al.
Published: (2026)
by: Sathyanarayana, Shreyas Vinaya, et al.
Published: (2026)
REFACTOR: Learning to Extract Theorems from Proofs
by: Zhou, Jin Peng, et al.
Published: (2024)
by: Zhou, Jin Peng, et al.
Published: (2024)
Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
by: Qian, Fuyuan, et al.
Published: (2026)
by: Qian, Fuyuan, et al.
Published: (2026)
Neuroscience-Inspired Memory Replay for Continual Learning: A Comparative Study of Predictive Coding and Backpropagation-Based Strategies
by: Nalagatla, Goutham, et al.
Published: (2025)
by: Nalagatla, Goutham, et al.
Published: (2025)
Convergent World Representations and Divergent Tasks
by: Park, Core Francisco
Published: (2026)
by: Park, Core Francisco
Published: (2026)
Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
by: Liu, Shuai, et al.
Published: (2026)
by: Liu, Shuai, et al.
Published: (2026)
PWM: Policy Learning with Multi-Task World Models
by: Georgiev, Ignat, et al.
Published: (2024)
by: Georgiev, Ignat, et al.
Published: (2024)
AI for the Open-World: the Learning Principles
by: Zhang, Jianyu
Published: (2025)
by: Zhang, Jianyu
Published: (2025)
WLFM: A Well-Logs Foundation Model for Multi-Task and Cross-Well Geological Interpretation
by: Qi, Zhenyu, et al.
Published: (2025)
by: Qi, Zhenyu, et al.
Published: (2025)
RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
by: Xu, Charles, et al.
Published: (2024)
by: Xu, Charles, et al.
Published: (2024)
PTSM: Physiology-aware and Task-invariant Spatio-temporal Modeling for Cross-Subject EEG Decoding
by: Jing, Changhong, et al.
Published: (2025)
by: Jing, Changhong, et al.
Published: (2025)
Fusing Urban Structure and Semantics: A Conditional Diffusion Model for Cross-City OD Matrix Generation
by: Chen, Bin, et al.
Published: (2026)
by: Chen, Bin, et al.
Published: (2026)
Mathematical Formalism for Memory Compression in Selective State Space Models
by: Bhat, Siddhanth
Published: (2024)
by: Bhat, Siddhanth
Published: (2024)
Latent Knowledge Scalpel: Precise and Massive Knowledge Editing for Large Language Models
by: Liu, Xin, et al.
Published: (2025)
by: Liu, Xin, et al.
Published: (2025)
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
by: Shen, William F., et al.
Published: (2026)
by: Shen, William F., et al.
Published: (2026)
Similar Items
-
Towards Universal Neural Likelihood Inference
by: Brahmavar, Shreyas Bhat, et al.
Published: (2025) -
Towards Cost Sensitive Decision Making
by: Li, Yang, et al.
Published: (2024) -
Dynamic Information Sub-Selection for Decision Support
by: Huang, Hung-Tien, et al.
Published: (2024) -
NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data
by: Dinh, Dzung, et al.
Published: (2025) -
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification
by: Brahmavar, Shreyas Bhat, et al.
Published: (2023)