PaLM 62B · ARC AI2 · Challenge score · % ↗
Reported model / MODEL EVIDENCE
PaLM 62B
9 benchmarks · 13 observations · 5 sources · released 2022-04-04
Scores at a glance
9 benchmarks · large dot: PaLM 62B; small dots: closest models where reported
PaLM 62B · GSM8K · EM · % ↗
PaLM 62B · MMLU · EM · % ↗
PaLM 62B · OpenBookQA · Accuracy · % ↗
PaLM 62B · PIQA · Score · % ↗
PaLM 62B · Winogrande · Accuracy · % ↗
1 more reported result
77% · PaLM 62B · Winogrande · Accuracy · % · Epoch AI · Winogrande ↗
PaLM (62B) · FreshQA · Strict without search · overall accuracy · source April 2023 snapshot ↗
1 more reported result
8.6% · PaLM (62B) · FreshQA · Relaxed without search · overall accuracy · source April 2023 snapshot · FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation ↗
PaLM 62B · MultiMedQA & HealthSearchQA · MedQA four-option · five-shot · accuracy · PaLM and Flan-PaLM comparison ↗
2 more reported results
43.4% · PaLM 62B · MultiMedQA & HealthSearchQA · MedMCQA · five-shot · accuracy · PaLM and Flan-PaLM comparison · Large Language Models Encode Clinical Knowledge ↗
57.8% · PaLM 62B · MultiMedQA & HealthSearchQA · PubMedQA · three-shot · accuracy · PaLM and Flan-PaLM comparison · Large Language Models Encode Clinical Knowledge ↗
PaLM 62B · Accuracy ↗
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
7 of 9 shared benchmark comparisons
How similarity is measured
Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.
Sources
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
- LLaMA: Open and Efficient Foundation Language Models ↗
All 14 authors
Touvron, Hugo, Lavril, Thibaut, Izacard, Gautier, Martinet, Xavier, Lachaux, Marie-Anne, Lacroix, Timothée, Rozière, Baptiste, Goyal, Naman, Hambro, Eric, Azhar, Faisal, Rodriguez, Aurelien, Joulin, Armand, Grave, Edouard, Lample, Guillaume
- Large Language Models Encode Clinical Knowledge — published result table ↗
All 30 authors
Singhal, Karan, Azizi, Shekoofeh, Tu, Tao, Mahdavi, S. Sara, Wei, Jason, Chung, Hyung Won, Scales, Nathan, Tanwani, Ajay, Cole-Lewis, Heather, Pfohl, Stephen, Payne, Perry, Seneviratne, Martin, Gamble, Paul, Kelly, Chris, Scharli, Nathaneal, Chowdhery, Aakanksha, Mansfield, Philip, Arcas, Blaise Aguera y, Webster, Dale, Corrado, Greg S., Matias, Yossi, Chou, Katherine, Gottweis, Juraj, Tomasev, Nenad, Liu, Yun, Rajkomar, Alvin, Barral, Joelle, Semturs, Christopher, Karthikesalingam, Alan, Natarajan, Vivek
- FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation — published result table ↗
All 11 authors
Vu, Tu, Iyyer, Mohit, Wang, Xuezhi, Constant, Noah, Wei, Jerry, Wei, Jason, Tar, Chris, Sung, Yun-Hsuan, Zhou, Denny, Le, Quoc, Luong, Thang
- LLaMA: Open and Efficient Foundation Language Models ↗
All 14 authors
Touvron, Hugo, Lavril, Thibaut, Izacard, Gautier, Martinet, Xavier, Lachaux, Marie-Anne, Lacroix, Timothée, Rozière, Baptiste, Goyal, Naman, Hambro, Eric, Azhar, Faisal, Rodriguez, Aurelien, Joulin, Armand, Grave, Edouard, Lample, Guillaume
- PaLM: Scaling Language Modeling with Pathways ↗
All 67 authors
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
Names used in source tables
PaLM (62B) · PaLM 62B