--- title: "Who cites LongMemEval: Benchmarking — 88 citing papers" description: "88 papers of the Elamur Research library cite «LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory», found in…" canonical: "https://research.elamur.ai/free/en/papers/wu-2024-longmemeval-benchmarking-chat-assistants-long/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wu-2024-longmemeval-benchmarking-chat-assistants-long/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [LongMemEval: Benchmarking Chat Assistants on…](https://md.research.elamur.ai/free/en/papers/wu-2024-longmemeval-benchmarking-chat-assistants-long/) / cited by # Who cites «LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory» 88 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory»](https://md.research.elamur.ai/free/en/papers/wu-2024-longmemeval-benchmarking-chat-assistants-long/) 1. [**LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks arXiv:2412.15204**Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.*2024 · 130 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longbench-v2-deeper-understanding/) 2. **[Bounded Conversational Memory with Hybrid Retrieval and Evidence Highlighting for Multi-Session Dialogue Systems](https://md.research.elamur.ai/free/en/papers/mudunuri-2026-bounded-conversational-memory-hybrid-retrieval/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Manasa Mudunuri, Chandra Kiran Guntupalli, Shiraj Pokharel, et al.*2026* 86 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/wu-2024-longmemeval-benchmarking-chat-assistants-long/) — LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory