Papers by Jiayao Liu

2 papers
PACE: Predictive Adaptive Context Extraction for Long-Horizon LLM Agents (2026.acl-long)

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Challenge: Large Language Model (LLM) agents struggle with ultra-long-horizon tasks requiring hundreds or thousands of interaction steps.
Approach: They propose a framework that reconceptualizes context management as a Next Step Prediction problem.
Outcome: The proposed framework improves task success rates and robust cross-lingual performance.
Event Causality Identification with Synthetic Control (2024.emnlp-main)

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Challenge: Existing approaches to event causality identification have primarily utilized linguistic patterns and multi-hop relational inference, risking false causality .
Approach: They propose to use the Rubin Causal Model to identify event causality by generating a twin from existing corpora.
Outcome: The proposed method can identify causal relations more robustly than previous methods, including GPT-4, which is demonstrated on a causality benchmark, COPES-hard.

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