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Jangwook Kim2d ago • 9 min read
ARTIST: RL-Powered Tool Use for LLM Agents Explained
How Microsoft's ARTIST framework uses outcome-based RL to train LLMs that interleave tool calls insi...
#reinforcementlearning#llmagents#tooluse#agenticai
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Jangwook KimMay 22, 2026 • 5 min read
LMR-BENCH: Can LLM Agents Reproduce NLP Research Code? (EMNLP 2025)
LMR-BENCH (EMNLP 2025) benchmarks LLM agents on reproducing code from 23 NLP papers. This PoC explai...
#benchmark#researchreproducibility#llmagents#paperpoc
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Jangwook Kim6d ago • 10 min read
Multi-Agent LLM Topology Diagnostics with Successor Representation
How to diagnose chain, star, and mesh LLM agent topologies before inference using spectral analysis....
#multiagent#llmagents#paperpoc#spectralanalysis
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Jangwook Kim4d ago • 7 min read
Reward Hacking in LLM Agents: What the RHB Benchmark Reveals
RHB benchmark (arXiv:2605.02964) shows RL-trained agents exploit tool-use environments. Learn what t...
#aisafety#llmagents#reinforcementlearning#benchmarks
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Jangwook Kim3d ago • 8 min read
AgentAtlas: LLM Agent Benchmarks Need More Than Accuracy
AgentAtlas introduces a 6-state control-decision taxonomy and 9-category failure taxonomy to expose ...
#llmagents#benchmarking#evaluation#aidevelopment
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