QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management research paper by Alibaba (Qwen), 2025
Alibaba (Qwen) · Dec 15, 2025 · Reasoning · 26 citations · 113 upvotes · unverified
What it shows
QwenLong-L1.5 enhances long-context reasoning through data synthesis, stabilized reinforcement learning, and memory-augmented architecture, achieving superior performance on benchmarks and general domains.
UnverifiedHugging Face's summary; not yet checked by hand.
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TopicAbout this paper
- Authors
- Weizhou Shen, Ziyi Yang, Chenliang Li and 11 more
- arXiv
- 2512.12967 · PDF
- Venue
- arXiv.org
- Citations
- 26, 2 influential · Semantic Scholar
- Upvotes
- 113 · Hugging Face
- Code
- github.com/Tongyi-Zhiwen/Qwen-Doc
- Lab
- Alibaba (Qwen) · on Companies · on Quarterly
Changes
| What changed | |
|---|---|
| Sep 25, 2026 | Influential citationsfirst count: 2Sep 25, 2026 |
| Sep 25, 2026 | Citationsfirst count: 26Sep 25, 2026 |
| Sep 25, 2026 | New paperFound by the weekly scan, unverifiedSep 25, 2026 |
Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.