AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Claire Radar

TELBench

Evaluates span-level error localization in deep-research agent trajectories. TELBench comprises 1,000 instances with annotations of harmful error spans among normal exploration, failed searches, tentative hypotheses, and harmless noise, scored by span-level localization and first-error accuracy.

Evidence available for this benchmark

Numeric results have not been collected for this source record. Use the paper, code or dataset below to check the task and experiments; this does not imply that the original work contains no results.

Start with these resources

Cited documents and dates (1)

Catalog collected on 2026-10-14; resources and fields reflect that saved source.

Recorded attention

Observed on: 2026-10-13

GitHub stars
25
Hugging Face paper upvotes
58
Star change · 30 days before observation
+2

nju-link/drift · View source snapshot

Dated attention observations, not live counts or benchmark scores.

Evaluation context and evidence

Source
Claire Radar
Publisher
Not recorded
Benchmark release
2026-06-01
Collected
2026-10-14
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.