Joel Jang
21 papers · 2022–2025 · 7 conferences · across top CS/AI conferences
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Keywords
language model
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zero-shot learning
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large language model
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instruction following
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prompt tuning
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zero-shot generalization
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gradient ascent
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instruction tuning
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language model evaluation
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visual grounding
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information retrieval
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text generation
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few-shot learning
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Papers
FLARE: Robot Learning with Implicit World Modeling
CORL 2025
DreamGen: Unlocking Generalization in Robot Learning through Video World Models
CORL 2025
Magma: A Foundation Model for Multimodal AI Agents
CVPR 2025
Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition
ICLR 2025
Latent Action Pretraining from Videos
ICLR 2025
HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation
ICLR 2025
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
NAACL 2025
LangBridge: Multilingual Reasoning Without Multilingual Supervision
ACL 2024
Exploring the Practicality of Generative Retrieval on Dynamic Corpora
EMNLP 2024
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
ICLR 2024
How Well Do Large Language Models Truly Ground?
NAACL 2024
Semiparametric Token-Sequence Co-Supervision
ACL 2024
Gradient Ascent Post-training Enhances Language Model Generalization
ACL 2023
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
ICLR 2023
Fixed Input Parameterization for Efficient Prompting
ACL 2023
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
ICML 2023
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
ACL 2023
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
EMNLP 2023
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt
EMNLP 2023
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
EMNLP 2022
Towards Continual Knowledge Learning of Language Models
ICLR 2022