5 papers
Beyond Isolated Investor: Predicting Startup Success via Roleplay-Based Collective Agents
Zhongyang Liu, Haoyu Pei, Xiangyi Xiao +5
Due to the high value and high failure rates of startups, predicting their success is a critical challenge. Existing approaches typically model startup success from a single decisi…
The Gaining Paths to Investment Success: Information-Driven LLM Graph Reasoning for Venture Capital Prediction
Haoyu Pei, Zhongyang Liu, Xiangyi Xiao +4
Most venture capital (VC) investments fail, while a few deliver outsized returns. Accurately predicting startup success requires synthesizing complex relational evidence, including…
Hold Onto That Thought: Assessing KV Cache Compression On Reasoning
Minghui Liu, Aadi Palnitkar, Tahseen Rabbani +9
Large language models (LLMs) have demonstrated remarkable performance on long-context tasks, but are often bottlenecked by memory constraints. Namely, the KV cache, which is used t…
PathReasoning: A multimodal reasoning agent for query-based ROI navigation on whole-slide images
Kunpeng Zhang, Hanwen Xu, Sheng Wang
Deciphering tumor microenvironment from Whole Slide Images (WSIs) is intriguing as it is key to cancer diagnosis, prognosis and treatment response. While these gigapixel images on…
TreeHop: Efficient Embedding-Level Query Rewriter
Zhonghao Li, Kunpeng Zhang, Jinghuai Ou +2
Retrieval-augmented generation (RAG) systems face significant challenges in multi-hop question answering (MHQA), where complex queries require synthesizing information across multi…