conftrace_

Yihao Feng

25 papers · 2019–2025 · 9 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (13)
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🏃 Academic Marathon (6) 🤝 Dynamic Duo (12) 🏆 Grand Slam 🧬 Topic Evolution 📈 Trend Setter Prolific Year (6) 💎 Century Club (25) 🗃️ Keyword Collector (104) 🔥 Unstoppable (7)

Conferences

NIPS (8) ICLR (5) NAACL (3) AAAI (2) ACL (2) ICML (2) CVPR (1) ICCV (1) IJCNLP (1)

Papers

Text2Data: Low-Resource Data Generation with Textual Control AAAI 2025 xLAM: A Family of Large Action Models to Empower AI Agent Systems NAACL 2025 Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward NAACL 2025 Longhorn: State Space Models are Amortized Online Learners ICLR 2025 Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents ICLR 2025 Structured Policy Optimization: Enhance Large Vision-Language Model via Self-referenced Dialogue ICCV 2025 HIVE: Harnessing Human Feedback for Instructional Visual Editing CVPR 2024 APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets NIPS 2024 FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability ACL 2024 Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization ICLR 2024 FAMO: Fast Adaptive Multitask Optimization NIPS 2023 LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning NIPS 2023 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems ICLR 2023 UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild NIPS 2023 Preference-grounded Token-level Guidance for Language Model Fine-tuning NIPS 2023 Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023 Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022 A Unified Framework for Alternating Offline Model Training and Policy Learning NIPS 2022 Unsupervised Out-of-Domain Detection via Pre-trained Transformers ACL 2021 Unsupervised Out-of-Domain Detection via Pre-trained Transformers IJCNLP 2021 Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System NAACL 2021 Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds ICLR 2021 Accountable Off-Policy Evaluation With Kernel Bellman Statistics ICML 2020 Off-Policy Interval Estimation with Lipschitz Value Iteration NIPS 2020 A Kernel Loss for Solving the Bellman Equation NIPS 2019