Yuguang Yao
1 indexed paper
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126
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AI×1NLP×1
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2026
AGENTCL: Toward Rigorous Evaluation of Continual Learning in Language Agents
The paper introduces AGENTCL, a rigorous evaluation framework that uses controlled task streams to accurately measure an agent's ability to accumulate and reuse knowledge across multiple tasks, thereby addressing limitations in current continual learning benchmarks.
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