4 papers
What If TSF: A Benchmark for Reframing Forecasting as Scenario-Guided Multimodal Forecasting
Jinkwan Jang, Hyunbin Jin, Hyungjin Park +2
Time series forecasting is critical to real-world decision making, yet most existing approaches remain unimodal and rely on extrapolating historical patterns. While recent progress…
From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment
Kyubyung Chae, Hyunbin Jin, Taesup Kim
Safely aligning large language models (LLMs) often demands extensive human-labeled preference data, a process that's both costly and time-consuming. While synthetic data offers a p…
ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction
Juan Yeo, Soonwoo Cha, Jiwoo Song +2
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…
"Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection Decoding
Hyunbin Jin, Je Won Yeom, Seunghyun Bae +1
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…