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Hyunbin Jin

2 accepted papers

2025

ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction

ICCV 2025poster

Vision-language models such as CLIP have recently propelled open-vocabulary dense prediction tasks by enabling recognition of a broad range of visual concepts. However, CLIP still struggles with fine-grained, region-level understanding, hindering its effectiveness on these dense prediction tasks. We…

Cited by 0SourcePDFScholar
2025

“Well, Keep Thinking”: Enhancing LLM Reasoning with Adaptive Injection Decoding

ACL 2025finding

Large language models (LLMs) exhibit strong reasoning abilities, often attributed to few-shot or zero-shot Chain-of-Thought (CoT) prompting. While effective, these methods require labor-intensive prompt engineering, raising the question of whether reasoning can be induced without reliance on explici…

Cited by 0SourcePDFScholar