ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders
The recent emergence of vibe-coding workflows is changing what coding agents are expected to do. Instead of merely co...
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The recent emergence of vibe-coding workflows is changing what coding agents are expected to do. Instead of merely co...
Multi-agent interactive world models should not only generate consistent observations, but also maintain world states...
The development of generalizable robotic manipulation policies is inherently bounded by the availability of large-sca...
Traditional agent development is split across prompt templates, tool schemas, callback code, and workflow graphs. We ...
Reinforcement learning for large language models (LLMs) typically relies on trust-region masks to stabilize off-polic...
We introduce Tencent WorkBuddy Bench, a multi-domain evaluation suite for coding agents; this report documents its co...
Controllable video generation remains challenging due to the difficulty of specifying precise multi-object interactio...
Deep research requires agents to find answers that jointly satisfy multiple constraints. Discovering such answers is ...
Embodied visual tracking (EVT) requires a mobile agent to continuously follow a specific target described in natural ...
Deploying navigation systems at scale requires a recipe that minimizes sensor assumptions, generalizes across robot e...
On-policy self-distillation (OPSD) is promising as it removes the external teacher required by on-policy distillation...
We study sinusoidal recurrence as an iterative mechanism for harmonic spectral enrichment in implicit neural represen...