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ST-Evidence is introduced, the first human-verified benchmark for both discriminative and generative pixel-level grounding, and scalable, automated generation pipelines are developed to create ST-Evidence-Instruct, a 160k-scale dataset bridging high-level reasoning with fine-grained grounding.
The LZ penalty is introduced, a penalty specialized for reducing degenerate repetitions in autoregressive language models without loss of capability and without instances of degenerate repetition, and enables state-of-the-art open-source reasoning models to operate with greedy decoding without loss of capability and without instances of degenerate repetition.
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