Trial by Trace
Benchmarking AI agent harnesses for reliability and failure attribution. TraceTrial-Bench examines 95 tasks across four harnesses and nine model configurations.
TRACELITE AI / RESEARCH TIMELINE
Technical reports, papers, and milestones. Follow our work in agent evaluation, synthetic data, and training as it develops.
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Benchmarking AI agent harnesses for reliability and failure attribution. TraceTrial-Bench examines 95 tasks across four harnesses and nine model configurations.
InfoQ’s conference recap lists TraceLite AI among the organizations represented by speakers at AICon Shenzhen 2026.
Optimizing recruitment proactive dialogue agents through simulator-based data evaluation and selection.
Rollout-Guided Adaptive Pixel-Space Reasoning.
Grounding multimodal reward-model rubrics in task-relevant visual evidence and verifying their consistency.
Separating privileged state tracking from simulated user utterances to support multi-turn dialogue policy training.
Modeling class proxies as Kent distributions on the hypersphere so that conflicting multi-label gradients are absorbed by directional variance instead of shifting the proxy.
Selecting relevant frames and resampling visual evidence for video reasoning.
A Benchmark for Explicit Stepwise Causal Reasoning in Videos.
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