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Michael Lu

3 accepted papers

2025

NewsInterview: a Dataset and a Playground to Evaluate LLMs’ Grounding Gap via Informational Interviews

ACL 2025long

Large Language Models (LLMs) have demonstrated impressive capabilities in generating coherent text but often struggle with grounding language and strategic dialogue. To address this gap, we focus on journalistic interviews, a domain rich in grounding communication and abundant in data. We curate a d…

Cited by 0SourcePDFScholar
2025

NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts

EMNLP 2025

Current large language models (LLMs) struggle to answer questions that span tens of thousands of tokens, especially when multi-hop reasoning is involved. While prior benchmarks explore long-context comprehension or multi-hop reasoning in isolation, none jointly vary context length and reasoning dept

2021

Real-Time Hamilton-Jacobi Reachability Analysis of Autonomous System With An FPGA

IROS 2021poster

Hamilton-Jacobi (HJ) reachability analysis is a powerful technique used to verify the safety of autonomous systems. HJ reachability is ideal for analysing nonlinear systems with disturbances and flexible set representations. A drawback to this approach is that it suffers from the curse of dimensiona…

Cited by 9SourceScholar