Papers

Filtered to human-computer interaction · clear filter

Browse by term

continual learning 91reinforcement learning 43vision-language models 18benchmarking 12benchmarks 11robotics 11large language models 10language models 9world models 9video generation 6generative models 5multimodal models 5natural language processing 5recursive self-improvement 5video world models 5agents 4dialogue systems 4diffusion models 4foundation models 4multimodal large language models 4on-policy distillation 4reasoning 4self-distillation 4self-supervised learning 4conversational AI 3evaluation benchmarks 3human-computer interaction 3LLMs 3multi-agent systems 3policy optimization 3

Matching papers

RoTA-Bench: Evaluating 3D Spatial Reasoning through Interactive Projection Alignment

202 upvotes · 14 OCT 2026 · Qingchuan Ma, Yuexiao Ma, Xiang Meng et al.

This paper evaluates how well vision-language models can understand 3D objects from 2D observations and make precise actions. Practitioners might care because it highlights the limitations of current models in tasks that require inferring object geometry and anticipating the effects of rotation.

3D spatial reasoninginteractive projection alignmentvision-language modelsaction planninghuman-computer interaction

RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations

110 upvotes · 1 OCT 2026 · Arman Behnam, Sunglyoung Kim, Liangwei Yang

This paper benchmarks a conversational AI system's ability to understand humans over long-term conversations, testing its ability to remember past interactions and reason about their context. Practitioners might care because this research helps improve AI systems' capacity for human-like understanding and conversation.

human-computer interactionconversation AIlong-term memoryreasoningdialogue systems