Researchers from Wharton tested whether threatening or tipping AI models improves performance on GPQA Diamond and MMLU-Pro benchmarks across five models. Results show these popular ‘folk prompting’ strategies …
ActiveGraph introduces an event-sourced runtime where an append-only log serves as the primary source of truth for AI agents, with graph state as a deterministic projection of that log. This architecture enables …
Zep is a memory layer service for AI agents powered by Graphiti, a temporally-aware knowledge graph engine that dynamically integrates conversational and structured business data. It outperforms MemGPT on the Deep Memory …
EngramaBench is a new benchmark for evaluating long-term conversational memory across five query types including cross-space reasoning, temporal inference, and adversarial abstention. A controlled comparison of GPT-4o …
This paper studies harness design for LLM agents through the lens of inference-time trajectory alignment, showing that effective harnesses must align decomposition granularity with agent capability and guidance with task …
SkillOpt introduces a systematic text-space optimizer for agent skills that treats skill documents as trainable external state, using bounded edits, validation gates, and epoch-wise updates to achieve consistent …
An in-depth analysis of why AI adoption in the legal profession has been slower than expected, examining structural barriers including data monopolies, organizational resistance, billing model conflicts, and risk …
This paper presents a comprehensive framework for authenticated delegation to AI agents, extending OAuth 2.0 and OpenID Connect protocols to enable secure, accountable, and auditable delegation of authority from users to …
FuzzingBrain V2 is a multi-agent LLM system that combines semantic code analysis with fuzzing-based verification to automatically discover and reproduce software vulnerabilities. The system achieved 90% detection rate on …
An in-depth exploration of world models in AI, covering their definition, implementation approaches (generative vs predictive), and practical applications from autonomous vehicles to interactive environments and agent …
