Papers with robust discrimination
From Imitation to Discrimination: Progressive Curriculum Learning for Robust Web Navigation (2026.findings-acl)
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| Challenge: | Text-based web agents offer computational efficiency for autonomous web navigation, yet they lack discrimination capabilities to reject plausible but incorrect elements in densely populated pages. |
| Approach: | They propose a model that uses a text-based web agent to learn to discriminate against incorrect elements in densely populated HTML and a training curriculum to synthesize diverse cross-domain tasks with strict verification. |
| Outcome: | Empirical evaluation shows that the model performs better than open-source models with 58.7% step success rate. |
HCFD: A Benchmark for Audio Deepfake Detection in Healthcare (2026.findings-acl)
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| Challenge: | a new task for detecting codec-fakes under pathological speech conditions is presented . we focus on codec based synthetic speech since neural codec decoding is a core building block in speech generation pipelines. |
| Approach: | They propose a new task for detecting codec-fakes under pathological speech conditions . they focus on codec based synthetic speech since neural codec decoding is a core building block in speech pipelines . |
| Outcome: | The proposed framework outperforms speech-based models on Healthcare CodecFake . it achieves the strongest performance on the task across clinical conditions and codecs . |