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TaraSPande authored Nov 5, 2024
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Expand Up @@ -70,9 +70,9 @@ Large language models (LLMs) have revolutionized a wide range of domains. In par
| Oct 14 | **Agents for Software Development** <br> Graham Neubig, Carnegie Mellon University <br> <a href="https://rdi.berkeley.edu/llm-agents-mooc/slides/neubig24softwareagents.pdf">Slides</a> [Original Recording](https://bcourses.berkeley.edu/courses/1535641/external_tools/90481) [Edited Video](https://www.youtube.com/live/f9L9Fkq-8K4) | - [SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering](https://arxiv.org/abs/2405.15793) <br> - [OpenHands: An Open Platform for AI Software Developers as Generalist Agents](https://arxiv.org/abs/2407.16741) |
| Oct 21 | **AI Agents for Enterprise Workflows** <br> Nicolas Chapados, ServiceNow <br> <a href="https://rdi.berkeley.edu/llm-agents/assets/agentworkflows.pdf">Slides</a> [Original Recording](https://bcourses.berkeley.edu/courses/1535641/external_tools/90481) [Edited Video](https://www.youtube.com/live/-yf-e-9FvOc) | - [WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?](https://arxiv.org/abs/2403.07718) <br> - [WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks](https://arxiv.org/abs/2407.05291) <br> - <a href="https://rdi.berkeley.edu/llm-agents-mooc/assets/tapeagents.pdf">TapeAgents: a Holistic Framework for Agent Development and Optimization</a> |
| Oct 28 | **Towards a unified framework of Neural and Symbolic Decision Making** <br> Yuandong Tian, Meta AI (FAIR) <br> <a href="https://rdi.berkeley.edu/llm-agents/assets/102824-yuandongtian.pdf">Slides</a> [Original Recording](https://bcourses.berkeley.edu/courses/1535641/external_tools/90481) [Edited Video](https://www.youtube.com/live/wm9-7VBpdEo) | - [Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping](https://arxiv.org/abs/2402.14083) <br> - [Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces](https://arxiv.org/abs/2410.09918v1) <br> - [Composing Global Optimizers to Reasoning Tasks via Algebraic Objects in Neural Nets](https://arxiv.org/abs/2410.01779) <br> - [SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems](https://arxiv.org/abs/2210.12547) |
| Nov 4 | **Project GR00T: A Blueprint for Generalist Robotics** <br> Jim Fan, NVIDIA | - [Voyager: An Open-Ended Embodied Agent with Large Language Models](https://voyager.minedojo.org/) <br> - [Eureka: Human-Level Reward Design via Coding Large Language Models](https://eureka-research.github.io/) <br> - [DrEureka: Language Model Guided Sim-To-Real Transfer](https://eureka-research.github.io/dr-eureka/) |
| Nov 4 | **Project GR00T: A Blueprint for Generalist Robotics** <br> Jim Fan, NVIDIA <br> <a href="https://rdi.berkeley.edu/llm-agents/assets/jimfangr00t.pdf">Slides</a> [Original Recording](https://bcourses.berkeley.edu/courses/1535641/external_tools/90481) [Edited Video](https://www.youtube.com/live/Qhxr0uVT2zs) | - [Voyager: An Open-Ended Embodied Agent with Large Language Models](https://voyager.minedojo.org/) <br> - [Eureka: Human-Level Reward Design via Coding Large Language Models](https://eureka-research.github.io/) <br> - [DrEureka: Language Model Guided Sim-To-Real Transfer](https://eureka-research.github.io/dr-eureka/) |
| Nov 11 | **No Class - Veteran's Day** | |
| Nov 18 | **Cybersecurity, agents, and open-source** <br> Percy Liang, Stanford University | |
| Nov 18 | **Open-Source and Science in the Era of Foundation Models** <br> Percy Liang, Stanford University | - [Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models](https://arxiv.org/abs/2408.08926) |
| Nov 25 | **Measuring Agent capabilities and Anthropic's RSP** <br> Ben Mann, Anthropic | |
| Dec 2 | **LLM Agent Safety** <br> Dawn Song, UC Berkeley | |

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