RESEARCH PAPERS
Full list of 14 new papers referenced in today's briefing.
Recursive Criticism and Improvement (RCI) for Complex Reasoning
Introduces a self-correction framework where LLMs critique their own outputs before final generation, improving accuracy on reasoning benchmarks by 14%.
Anthropic Computer Use 2.0: Enhanced Browser Control
Major update to Computer Use capability with improved screenshot understanding, faster response times, and new safety guardrails for enterprise deployment.
OpenAI Realtime API: Voice-First Prompt Engineering
Best practices for designing prompts that work seamlessly in voice-first applications, including handling interruptions and maintaining conversational context.
Structured Outputs v2: Achieving 99.8% Schema Reliability
Deep dive into the constrained decoding techniques behind the new Structured Outputs API, eliminating the need for complex JSON-formatting prompts.
Prompt-to-SQL Optimization via Schema-First Context Injection
A new few-shot prompting technique that prioritizes schema definitions over natural language instructions, reducing SQL generation errors by 22%.
From Chains to Graphs: Orchestrating Cyclic Agent Workflows
A conceptual framework for moving beyond linear prompt chains to state-machine based graphs (LangGraph) for more resilient agent behaviors.
Chain-of-Thought v2: Dynamic Step Allocation
Proposes a method where the model dynamically decides how many reasoning steps to allocate based on problem complexity, rather than a fixed prompt.
Llama Guard 4: Specialized Safety Prompting
Research on using specialized safety models to filter inputs/outputs without degrading the performance of the main reasoning model.
The Limits of In-Context Learning for Long-Tail Knowledge
Empirical study showing that RAG is still superior to massive context windows for retrieving obscure, long-tail facts.
NeMo SteerLM: Aligning Models During Inference
Technique to adjust model attributes (helpfulness, humor, creativity) in real-time during inference using steering vectors.
Zephyr-Beta: Fine-Tuning on Synthetic Instructions
Demonstrates that high-quality synthetic data generated by larger models can effectively fine-tune smaller models to state-of-the-art performance.
Bedrock Agents: Traceability in Enterprise Workflows
Whitepaper on ensuring auditability and traceability when deploying autonomous agents in regulated enterprise environments.
Rerank 3: Optimizing Retrieval for Multilingual Contexts
Analysis of the new Rerank 3 model's ability to improve RAG performance across 100+ languages without translating documents.
Mixture-of-Experts Prompting Strategies
Best practices for prompting MoE models, specifically how to route queries to specific experts implicitly through phrasing.
Gemini 2.0: Multimodal Prompting Nuances
Guide to interleaving text, image, and video inputs effectively to maximize reasoning performance in the new Gemini 2.0 architecture.
Claude Artifacts: Best Practices for Interactive Outputs
Comprehensive guide to prompting Claude for generating interactive artifacts including code, visualizations, and documents.