3 papers
cs.IR2026
GraphRAG-IRL: Personalized Recommendation with Graph-Grounded Inverse Reinforcement Learning and LLM Re-ranking
Siqi Liang, Xiawei Wang, Yudi Zhang +1
Personalized recommendation requires models that capture sequential user preferences while remaining robust to sparse feedback and semantic ambiguity. Recent work has explored larg…
cs.CL2025
Jailbreak Distillation: Renewable Safety Benchmarking
Jingyu Zhang, Ahmed Elgohary, Xiawei Wang +5
Large language models (LLMs) are rapidly deployed in critical applications, raising urgent needs for robust safety benchmarking. We propose Jailbreak Distillation (JBDistill), a no…
cs.CV2025
DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos
Zijia Lu, A S M Iftekhar, Gaurav Mittal +6
Long Video Temporal Grounding (LVTG) aims at identifying specific moments within lengthy videos based on user-provided text queries for effective content retrieval. The approach ta…