Unverified50% confidenceOpinionExact time
The surge in submissions has caused the growth in the number of reviewers to lag behind, increasing the burden on individual reviewers and widening the variance in review quality.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/19/2026
First Seen
Valid until: 12/18/2026
Sources
Related Entities
Related Claims
UnverifiedSubmission volumes at top AI conferences have grown exponentially in recent years, leading to a severe shortage of qualified reviewers and forcing conferences to bring in PhD students and even junior researchers at scale to serve as reviewers.74% similarUnverifiedTMLR's review speed is noticeably slowing down because submission volume is rising while reviewer resources have not grown in tandem.68% similarVerifiedDocument chunking strategy directly affects retrieval recall rate: chunks that are too large introduce noise, while chunks that are too small lose semantic integrity.66% similarUnverifiedStuffing massive volumes of documents in their entirety into an oversized context window faces problems of cost, latency, and attention degradation (needle in a haystack), and the results may not be better than precise retrieval.65% similarUnverifiedAn excessively large unroll factor increases code size, increases instruction cache pressure, and consumes more registers, which can trigger register spilling and actually slow down performance.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/935830API
curl https://kongchang.com/api/v1/knowledge/claims/935830MCP
get_claim(id=935830)