Research Papers Institution
ByteDance's AI research arm (Seed), publishing work on multimodal generation, foundation models, and video.
Code Generation · Renmin University of China
DeNovoSWE auto-constructs 4,818 verifiable whole-repository generation tasks. Fine-tuning Qwen3-30B-A3B on them lifts BeyondSWE-Doc2Repo pass rate from 0.058 to 0.472.
Multimodal Models · Fudan University
ARM is a 7B autoregressive model that does image understanding, text-to-image, and editing in one next-token framework, on a shared discrete tokenizer; RL lifts GenEval 0.79 to 0.86 and GEdit-EN overall 5.75 to 6.68.
TaskMem trains a multimodal agent to write its own memory with RL, lifting streaming-video QA accuracy to 67.9% on VideoMME and 45.4% on EgoLife, gains of 6.3 and 7.0 points over the Qwen3-VL-30B baseline.
Representation Forcing drops the frozen VAE from unified multimodal models. RF-Pixel predicts visual representation tokens before pixels, hits 0.84 GenEval, and lifts MMMU by 4.3 points over its VAE variant.
SwanVoice is a zero-shot TTS system that generates an entire 1-4 speaker conversation in one pass, keeping voice, mood, and prosody consistent across turns where turn-by-turn synthesis drifts — but content accuracy lags.