Research Papers Institution
Singapore's flagship research university, active in efficient deep learning, model compression, and generative models through groups such as its Learning and Vision Lab.
Reinforcement Learning · Xi'an Jiaotong University
Flow-DPPO swaps PPO ratio clipping for an exact per-step Gaussian KL term, lifting GenEval2 to 48.1 on SD3.5 (vs 39.9 for Flow-GRPO) while cutting policy drift roughly 4x.
Reinforcement Learning · Tencent
DRPO swaps DPPO's hard divergence mask for a smooth advantage-weighted quadratic regularizer, keeping the Binary-TV trust region but with bounded gradient weights, and trains Qwen3 LLMs more stably under FP8.
Agent Memory · National University of Singapore
MRAgent gives LLM agents a Cue-Tag-Content memory graph and lets the model reason while it traverses it, lifting LoCoMo LLM-Judge from 68.3 to 84.2 while cutting tokens to 118k per sample.
Agent Memory · National University of Singapore
EvoArena turns static agent tasks into evolving chains and finds current agents average only 39.6% accuracy; EvoMem adds patch memory and improves chain-level accuracy by 3.7 points.
Multimodal Models · Peking University
A survey that reframes long-video MLLMs as three abilities (watch, remember, reason), comparing against 11 prior surveys and organizing 100+ methods plus 5 application domains.
Mixture of Experts · National University of Singapore
dMoE aligns token-level MoE routing with block-parallel decoding in diffusion LLMs. On LLaDA2.0-mini it cuts unique experts per block from 69.5 to 14.6, keeps 99.11% accuracy, and frees 76-80% of expert memory.