Papers with EST

2 papers
Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Tests (2026.findings-acl)

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Challenge: Proxy optimization is a challenge spanning reinforcement learning and LLM alignment.
Approach: They propose an invariance-based framework that detects proxy gaming by separating exploitable sensitivity from content-driven improvements using semantic validity audits.
Outcome: The proposed framework achieves 78.4% precision and 81.7% recall across 15 environments and 5 algorithms.
Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecasting (2026.acl-long)

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Challenge: Temporal knowledge graphs (TKGs) require predicting future facts by modeling structural dependencies within each snapshot and temporal evolution across snapshots.
Approach: They propose an encoder-agnostic framework that provides persistent entity states . EST maintains a global state buffer and aligns structural evidence with sequential signals .
Outcome: Experiments show that EST improves diverse backbones and achieves state-of-the-art performance.

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