AI PAPERS

OR-Clarify benchmarks clarification before optimization modeling, and InterOPT guides agents to ask questions or stop based on missing formulation-critical details.

Motion-Omni is an end-to-end framework that jointly generates spoken dialogue and full-body co-speech motion from shared hidden states, using scalable pseudo-labeling and a unified evaluation protocol to achieve real-time, aligned responses.

Large language models frequently over-edit code during repair, but preservation instructions and reinforcement learning can improve edit fidelity without sacrificing correctness.

MaxKernel is a multi-agent system that automates TPU kernel development through collaborative, autonomous, and graph-based search paradigms, achieving expert-level performance on diverse benchmarks.

RISE improves language model post-training by recursively generating dense token-level supervision from the model's own reinforcement learning trajectory via self-extrapolation, avoiding external teachers.

Quantized recurrent inference suffers from state write-back rules that suppress small updates, but error feedback and residual memory restore accuracy without retraining across GRU and LSTM architectures.

Layer dropout improves large language model training efficiency and enables faster inference via early exit and speculative decoding without sacrificing accuracy.

Adapting a single-object 3D generative prior to multi-view observations enables scalable compositional mesh reconstruction of densely cluttered scenes with severe occlusion.

GAPO adaptively adjusts importance-sampling clipping thresholds based on rollout advantage to preserve stronger gradient signals from low-success groups in reinforcement learning with verifiable rewards.

Two large-scale search agents are trained via a multi-stage pipeline combining supervised fine-tuning and reinforcement learning against live search, achieving state-of-the-art open-source results on complex web benchmarks through rigorous trajectory filtering and inference-time context management.