Generated gallery
Slide Decks
Markdown-authored reveal.js decks grouped by the reading-list sections, generated from structured reviews.
Reasoning, Acting, and Reflection
ReAct: Synergizing Reasoning and Acting in Language Models
Yao et al., 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Wei et al., 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Wang et al., 2022
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Yao et al., 2023
Reflexion: Language Agents with Verbal Reinforcement Learning
Shinn et al., 2023
Self-Refine: Iterative Refinement with Self-Feedback
Madaan et al., 2023
Start Here
Tool Use and Interoperability
Toolformer: Language Models Can Teach Themselves to Use Tools
Schick et al., 2023
Gorilla: Large Language Model Connected with Massive APIs
Patil et al., 2023
ToolLLM: Facilitating LLMs to Master 16000+ Real-World APIs
Qin et al., 2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Shen et al., 2023
Model Context Protocol
Anthropic, 2024
Memory and State
Planning and Skill Acquisition
Voyager: An Open-Ended Embodied Agent with Large Language Models
Wang et al., 2023
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
Liu et al., 2023
On the Planning Abilities of Large Language Models: A Critical Investigation
Valmeekam et al., 2023
Multi-Agent Systems
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Wu et al., 2023
CAMEL: Communicative Agents for Mind Exploration of Large Language Model Society
Li et al., 2023
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Hong et al., 2023
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Du et al., 2023
Training Agents
Training Language Models to Follow Instructions with Human Feedback
Ouyang et al., 2022
WebGPT: Browser-Assisted Question-Answering with Human Feedback
Nakano et al., 2021
Direct Preference Optimization
Rafailov et al., 2023
Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Lambert et al., 2024
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI, 2025
The Agent Runtime
Isolation and Sandboxing
Firecracker: Lightweight Virtualization for Serverless Applications
Agache et al., 2020
gVisor
Google, 2026
seL4: Formal Verification of an OS Kernel
Klein et al., 2009
Bringing the Web Up to Speed with WebAssembly
Haas et al., 2017
Capability Myths Demolished
Miller, Yee, and Shapiro, 2003
Inference and Serving Infrastructure
Orca: A Distributed Serving System for Transformer-Based Generative Models
Yu et al., 2022
Efficient Memory Management for LLM Serving with PagedAttention
Kwon et al., 2023
Fast Inference from Transformers via Speculative Decoding
Leviathan et al., 2022
SGLang: Efficient Execution of Structured Language Model Programs
Zheng et al., 2023
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Dao et al., 2022
Evaluation and Benchmarks
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Jimenez et al., 2023
WebArena: A Realistic Web Environment for Building Autonomous Agents
Zhou et al., 2023
GAIA: A Benchmark for General AI Assistants
Mialon et al., 2023
tau-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Yao et al., 2024
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Xie et al., 2024
AgentBench: Evaluating LLMs as Agents
Liu et al., 2023
Establishing Best Practices for Building Rigorous Agentic Benchmarks
Zhu et al., 2025
ClawBench: Can AI Agents Complete Everyday Online Tasks?
Zhang et al., 2026
Security, Safety, and Trust
Reflections on Trusting Trust
Thompson, 1984
Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Greshake et al., 2023
Universal and Transferable Adversarial Attacks on Aligned Language Models
Zou et al., 2023
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
Ruan et al., 2023
Surveys and Perspectives
The Rise and Potential of Large Language Model Based Agents: A Survey
Xi et al., 2023
A Survey on Large Language Model Based Autonomous Agents
Wang et al., 2023
Advances and Challenges in Foundation Agents
Liu et al., 2025