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@@ -6,7 +6,7 @@
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| 1) **Toolformer: Language Models Can Teach Themselves to Use Tools** - Toolformer - introduces language models that teach themselves to use external tools via simple API calls. | [Paper](https://arxiv.org/abs/2302.04761), [Tweet](https://twitter.com/dair_ai/status/1624832248691191808?s=20&t=ygX07dsAPDF8_jwrxZIo1Q)|
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| 2) **Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents** - Describe, Explain, Plan, and Select - proposes using language models for open-world game playing.| [Paper](https://arxiv.org/abs/2302.01560), [Tweet](https://twitter.com/dair_ai/status/1624832250717036548?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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| 3) **A Categorical Archive of ChatGPT Failures** - A Categorical Archive of ChatGPT Failures - a comprehensive analysis of ChatGPT failures for categories like reasoning, factual errors, maths, and coding. | [Paper](https://arxiv.org/abs/2302.03494), [Tweet](https://twitter.com/dair_ai/status/1624832252587700230?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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-| 4) **Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery** - Hard Prompts Made Easy - optimizing hard text prompts through efficient gradient-based optimization. | [Paper](https://arxiv.org/abs/2302.03668), [Tweet](https://twitter.com/dair_ai/status/1624832254588465156?s=20&t=ygX07dsAPDF8_jwrxZIo1Q)](https://twitter.com/dair_ai/status/1624832254588465156?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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+| 4) **Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery** - Hard Prompts Made Easy - optimizing hard text prompts through efficient gradient-based optimization. | [Paper](https://arxiv.org/abs/2302.03668), [Tweet](https://twitter.com/dair_ai/status/1624832254588465156?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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| 5) **Data Selection for Language Models via Importance Resampling** - Data Selection for LMs - proposes a cheap and scalable data selection framework based on an importance resampling algorithm to improve the downstream performance of LMs. | [Paper]([XXX](https://arxiv.org/abs/2302.03169)), [Tweet](https://twitter.com/dair_ai/status/1624832256400302080?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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| 6) **Structure and Content-Guided Video Synthesis with Diffusion Models** - Gen-1 - proposes an approach for structure and content-guided video synthesis with diffusion models. | [Paper](https://arxiv.org/abs/2302.03011) , [Project](https://research.runwayml.com/gen1), [Tweet](https://twitter.com/dair_ai/status/1624832258296229889?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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| 7) **A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity** - Multitask, Multilingual, Multimodal Evaluation of ChatGPT - performs a more rigorous evaluation of ChatGPt on reasoning, hallucination, and interactivity. | [Paper](https://arxiv.org/abs/2302.04023), [Tweet](https://twitter.com/dair_ai/status/1624832260213026819?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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