| AMÂ Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â |
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| 8:40-9:00 |
Opening Remarks |
| 9:00-9:30 |
Invited Talk 1 - Tatsunori Hashimoto |
| 9:30-10:00 |
Invited Talk 2 - Nazneen Rajani |
| 10:00-10:15 |
Break |
| 10:15-10:45 |
Invited Talk 3 – Fei Xia |
| 10:45-11:30 |
Panel 1: Key Techniques, Insights, and Challenges in Building Instruction-following Models |
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Panelists: Alex Tamkin, Albert Webson, Fei Xia, Prithviraj (Raj) Ammanabrolu, Hyung Won Chung |
| PM |
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| 13:00-14:00 |
Poster Session |
| 14:00-14:30 |
Invited Talk 4 - Sara Hooker |
| 14:30-15:00 |
Invited Talk 5 - Alex Tamkin |
| 15:00-15:15 |
Break |
| 15:15-16:00 |
Panel 2: Open and Collaborative Strategies for the Large Language Model Adaptation |
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Panelists: Nazneen Rajani, Colin Raffel, Hao Zhang, Tatsunori Hashimoto |
| 16:00-17:20 |
Oral Presentations (10 min each) |
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1. Understanding Hidden Context in Preference Learning: Consequences for RLHF |
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2. Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game |
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3. Understanding the Effects of RLHF on LLM Generalisation and Diversity |
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4. Learning Interactive Real-World Simulators |
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5. Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks |
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6. Self-RAG: Self-reflective Retrieval Augmented Generation |
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7. Delve into PPO: Implementation Matters for Stable RLHF |
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8. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets |
| 17:20-17:30 |
Closing Remarks |