Trends
Oct 5 – Nov 1 vs. the four weeks before · Updated Nov 4
Memory Management for LLM Agents gained a 521% larger share, while Cross-Cultural Language Model Evaluation gained a 242% larger share; papers on long-horizon agent tasks and contextualized social media translation suggest areas of focus. Policy Learning’s share fell 72%, and Speech and Audio AI’s fell 18%.AI-written summary of the figures below
- Papers in the last four weeks
- 15,218+1% on the 15,128 before
- Topics gaining share
- 3clearly ahead of the overall rate
- Topics losing share
- 17clearly behind it
- Strongest rise
- Memory Management for LLM Agents+521% share of papers
Gaining and losing share
The clearest changes in each topic’s share of all new papers, strongest first. Bars show its share week by week.
Gaining
Change in shareJust taking off
New topics already drawing papers, and topics whose share jumped in the last two weeks.
Breakout topics
Change in shareFields
The map regions gaining and losing the most share of papers, week by week. Hover a field to pick out its line.
View as table
| Week of | LLM Agents and Evaluation | AI for Molecular and Materials Design | AI for Software Engineering | Speech and Audio AI | Time Series Forecasting | Autonomous Robotics and Navigation |
|---|---|---|---|---|---|---|
| Aug 10 | 8.2% | 1.1% | 3.5% | 4.6% | 4.3% | 6.7% |
| Aug 17 | 8.5% | 1.4% | 3.3% | 3.6% | 4.8% | 7.4% |
| Aug 24 | 8.8% | 1.5% | 3.2% | 4% | 4.4% | 5.1% |
| Aug 31 | 8.6% | 1.9% | 2.6% | 5.1% | 3.9% | 5.4% |
| Sep 7 | 7.4% | 1.3% | 2.5% | 6.7% | 4.6% | 7.2% |
| Sep 14 | 6.9% | 1% | 2.8% | 5.2% | 4.5% | 10.6% |
| Sep 21 | 9.3% | 1.3% | 2.6% | 6.7% | 5.3% | 7.5% |
| Sep 28 | 10.3% | 1.6% | 2.9% | 4.6% | 4.4% | 6% |
| Oct 5 | 9.4% | 1.8% | 3.3% | 5.1% | 4.1% | 7.7% |
| Oct 12 | 11.3% | 1.7% | 3.2% | 4.6% | 3.6% | 6% |
| Oct 19 | 10.3% | 1.6% | 3.5% | 4.3% | 3.3% | 6.4% |
| Oct 26 | 9.9% | 1.8% | 2.9% | 4.2% | 3.9% | 6.7% |
Recent papers in rising topics
The newest papers from the topics gaining share fastest.
Rising institutions
Universities and labs on a growing share of new papers, by author affiliation. Badges show the change in share.
- University of California+198%
- UC Berkeley+78%
- Shanghai Jiao Tong University+24%
- Meituan+108%
- Shanghai AI Laboratory+95%
- Google+57%
- University of Amsterdam+79%
- Princeton University+40%
- Michigan State University+75%
- MIT+40%
Affiliations are matched by name, so a lab listed under several spellings, or by department, is counted separately.
Topics meeting
Topics from different areas of the map that share more papers than they used to, with their newest shared paper. New subfields often start this way.
17 shared papers, up from 10
CLiS: Plug-and-Play Attention Acceleration for Video Diffusion on TPUs via Certified Stabilization39 shared papers, up from 32
TVP: TV is Almost All You Need for Speculative Decoding17 shared papers, up from 11
CaPtain: A Pipeline for Post-Training Code-as-Policy Robot Agents10 shared papers, up from 5
What Standard Evaluations Hide About Detectors of Hijacked LLM Agents: Rare Attacks, Unseen Tools and Benchmark Transfer18 shared papers, up from 14
CLiS: Plug-and-Play Attention Acceleration for Video Diffusion on TPUs via Certified Stabilization10 shared papers, up from 7
When More Planning Hurts: Learned Planners for World Models11 shared papers, up from 8
Consensus Within, Competition Between: Decentralized LLM Teams for Perimeter Defense16 shared papers, up from 14
TileWeave: Heterogeneous Tiling for Sparse Prefill on Mobile SoCsRising research terms
Research labels turning up in more papers than before: papers using each in the four weeks before → the last four.