Good Papers

Showing papers from Hebrew University of Jerusalem, IBM Research Show all papers

90%Must read

A Matter of TASTE: Improving Coverage and Difficulty of Agent Benchmarks

TASTE reverses benchmark construction by evolving tool sequences to automatically generate harder, broader-coverage agent tasks that expose severe performance drops and saturation in existing benchmarks.

Tomer Keren, Nitay Calderon, Asaf Yehudai, Yotam Perlitz and 2 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026 · ▲ 74 on Hugging Face · Code ★ 4

100% Readers1 of 1 upvoted
15/20 AI panelreviewers recommend it

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5
92%Must read
?Must readVote to see the score

General Agent Evaluation

A systematic comparison of general agent architectures finds backbone choice dominates performance while architecture shifts results up to 12pp, and open models suffer generality sinks.

Elron Bandel, Asaf Yehudai, Lilach Edelstein, Yehoshua Sagron and 11 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 14 on Hugging Face · Code ★ 76

– ReadersNo votes yet
19/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 19 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 4/5