Bang Wang

Many real-world applications require generating a chronological report from an evolving document stream; Timeline Summarization (TLS) provides a standard testbed for this setting. While large language models (LLMs) improve event synthesis, most LLM-based TLS systems remain monolithic: they repeat...

Despite progress in LLM summarization, factual hallucinations persist, motivating Attributed Summary Generation (ASG), which requires sentence-level citations. However, existing prompt-based approaches face severe challenges such as positional preference, poor citation quality and sensitivity to...

Multi-agent LLM systems accumulate long, non-monotonic memories where claims are revised, retracted, and later resurfaced, making final aggregation a validity-adjudication problem rather than simple summarization. However, existing agent systems provide little support for final-stage validity adj...