3 papers
cs.AI2026
PAR-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering
Xingyu Li, Rongguang Wang, Yuying Wang +5
Large language models (LLMs) remain brittle on multi-hop question answering (MHQA), where answering requires combining evidence across documents through retrieval and reasoning. It…
cs.LG2026
Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards
Xin Zhang, Xingyu Li, Rongguang Wang +4
Accurate chart comprehension represents a critical challenge in advancing multimodal learning systems, as extensive information is compressed into structured visual representations…
cs.LG2024
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
Hong Li, Zhiquan Tan, Xingyu Li +1
While vision-and-language models significantly advance in many fields, the challenge of continual learning is unsolved. Parameter-efficient modules like adapters and prompts presen…