Benchmark evaluates AI agents' sustained progress on long-horizon tasks with process rewards

The Long-Horizon-Terminal-Bench 2.0 extends to 77 tasks across 13 domains, uses dense progress ladders to track intermediate progress, and shows that binary outcome-only evaluation discards meaningful work.

Chinese Tech
Zongxia Li · Zhongzhi Li · Yucheng Shi · Ruhan Wang · Junyao Yang · Chengsong Huang · +11 more

University of Maryland · Tencent · University of Georgia

Research Digest··3 min read
Li et al.

The authors extended the Long-Horizon-Terminal-Bench (LHTB) from 46 to 77 tasks covering 13 domains and eight task types.

Why this paper

From Tencent and 2 others

In one line

LHTB 2.0 extends agent benchmarks to 77 tasks with process rewards and three-hour evaluations.

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