FIELD NOTES TOPIC

ai benchmarks

3 notes, newest first.

  1. MemOps: Benchmarking Lifecycle Memory Operations in Long-Horizon Conversations

    Source note ·

    The paper introduces MemOps, a new benchmark for evaluating the lifecycle of memory operations in long-horizon conversations for LLM-based agents. Unlike existing benchmarks that focus on final answers, MemOps focuses…

  2. ClassicLogic: A Knowledge-Driven Benchmark of Classic Puzzle Games for Evaluating Compositional Generalization

    Source note ·

    The paper introduces ClassicLogic, a new benchmark suite designed to evaluate an agent's ability to learn and compose problem-solving strategies in four classic logic puzzles: Sudoku, KenKen, Kakuro, and Futoshiki. The…

  3. EvoAgentBench: Benchmarking Agent Self-Evolution via Ability Transfer

    Source note ·

    The paper introduces EvoAgentBench, a new benchmark for evaluating agent self-evolution in long-horizon learning machine systems. The benchmark focuses on procedural knowledge transfer across four domains: web…