Meta researcher across NLP benchmarks and generative recommendation: buzzword evaluation and self-evolving memory.
2
papers here
2
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
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h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-15) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
Insufficient data: this profile currently lacks verifiable publication counts for this researcher. The output axis would measure the total volume and consistency of peer-reviewed papers over time.
Impact—
Insufficient data: no citation counts or influence metrics are available in the snapshot. The impact axis would measure citations and the uptake of the CIBuzzBench benchmark and LION method in downstream work.
Focus0/100
Scores 0/100, matching the raw field distribution: natural language processing and recommender systems / machine learning each hold 50%. The two reviewed 2026 papers sit on opposite sides — CIBuzzBench is an NLP evaluation benchmark, while LION targets continual generative recommendation — so current evidence shows breadth across two communities rather than concentration in one.
Collaboration64/100
Scores 64/100, computed from 24 distinct coauthors in the bibliographic record — a mid-range collaboration footprint. The frequent-coauthor list includes Yifan Wang, Junyu Lu, Shun Zhang, Chaozhuo Li, Jiahao Liu, Zhijun Cao, Lingbin Bu, Fanliang Bu, Xinyu Lin, and Zhuosong Jiang, though it carries disambiguation noise. On both reviewed papers the researcher appears in a middle author position, not as corresponding author.
Activity—
Insufficient data: yearly publication rhythm cannot be verified from the available snapshot. The activity axis would measure recent publication cadence and sustained engagement across venues over recent years.
Reproducibility78/100
Scores 78/100, the mean reproducibility rating (reproMean 78) across the 2 papers assessed by Evolve. CIBuzzBench rates high readiness, with human-verified annotations supporting reuse, while LION rates medium, showing strong empirical gains on 3 Amazon datasets but thin theoretical proofs; both are arXiv preprints.
Research summary
Qifan Wang is a researcher at Meta (United States), profiled here from public bibliographic data resolved against ORCID 0009-0006-8390-5586; the name is common, so identity rests on this resolution rather than on biography. The current evidence base is two 2026 arXiv papers reviewed in the Evolve catalog, split evenly between natural language processing and recommender systems / machine learning (50/50 field distribution). The first, CIBuzzBench, is described by Evolve as the first benchmark for Chinese-to-English buzzword understanding, with 3,001 entries across 3 tasks and strong human-verified annotation, though contamination risk is unexamined; its reproducibility readiness is rated high. The second, LION (Self-Evolving Memory for Generative Recommendation), adds a sparse key-value memory and a consolidation loss to curb 'evolution conflict' in continual generative recommendation, reporting strong gains on 3 Amazon datasets with thin proofs; readiness is medium. On both papers the researcher appears in a middle author position, not as corresponding author. Radar scores computed from this data give collaboration 64/100 (24 distinct coauthors), reproducibility 78/100 (mean across the 2 reviewed papers), and focus 0/100, reflecting the even two-field split. Output, impact, and activity axes lack sufficient data and are reported as missing.
Collaboration pattern
Collaboration scores 64/100 from 24 distinct coauthors. The frequent-coauthor list names Yifan Wang, Junyu Lu, Shun Zhang, Chaozhuo Li, Jiahao Liu, Zhijun Cao, Lingbin Bu, Fanliang Bu, Xinyu Lin, and Zhuosong Jiang, though it contains the researcher's own entry and a duplicate (Shun Zhang), signaling disambiguation noise. On both cataloged papers Qifan Wang is a middle-position author, not corresponding — consistent with contributing within larger teams.
Research keywords
Highlights
First cross-lingual benchmark for Chinese internet buzzwords
LION: self-evolving memory for generative recommendation
Timeline
- 2026Posts CIBuzzBench on arXiv: a 3,001-entry, 3-task benchmark for Chinese-to-English internet buzzword understanding, rated high in reproducibility readiness.
- 2026Posts the LION paper on arXiv, introducing self-evolving sparse key-value memory with a consolidation loss for continual generative recommendation.
- 2026Both papers enter the Evolve review catalog in the same year, spanning natural language processing and recommender systems / machine learning in an even 50/50 split.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- All metrics come from a limited public bibliometric snapshot; no citation counts, h-index, or total publication counts are present in the input data.
- Both reviewed papers are 2026 arXiv preprints; peer-review or venue acceptance status is not captured in the available data.
- 'Qifan Wang' is a common name; identity is name-resolved from public bibliographic data against ORCID 0009-0006-8390-5586, and the frequent-coauthor list contains the researcher's own entry plus a duplicate (Shun Zhang), indicating possible disambiguation noise.
- The reproducibility score (78) averages only 2 reviewed papers, and the output, impact, and activity axes lack sufficient data to score.