Research Papers Institution
A leading Chinese research university; its EPIC Lab works on efficient AI and LLM inference acceleration.
LLM Reasoning · Shanghai Jiao Tong University
ReRe lets an MLLM answer a spatial question, then re-watch a synthesized novel-view video and revise. Training-free, it pushes Qwen3-VL-2B from 22.5 to 31.0 on VSI-Bench (+8.5).
Vision-Language-Action · ACE Robotics
ACE-Ego-0 pretrains a VLA on 6,000+ hours mixing robot trajectories with human egocentric video turned into pseudo-actions. It averages 78.3% on six real bimanual tasks vs 71.7% for pi-0.5 and 35.6% for GR00T-N1.7.
AI Agents · Renmin University of China
FORT-Searcher trains a 3B-active search agent on shortcut-resistant tasks, scoring 66.2 overall among comparable open agents and delaying answer hit time from 18.7 to 46.9 versus REDSearcher data.
AI Agents · TokenRhythm Technologies
Claw-SWE-Bench evaluates OpenClaw-style coding-agent harnesses on 350 GitHub issue tasks. OpenClaw jumps from 19.1% to 73.4% Pass@1 with a full adapter.
AI Agents · Shanghai Jiao Tong University
A hypernetwork compiles a textual skill into a LoRA adapter in one forward pass. On ALFWorld, LatentSkill lifts success by 21.4 points (seen) with 64.1% fewer prefill tokens.
AI Agents · Shanghai Jiao Tong University
SWE-Explore isolates the repo-exploration stage of coding agents over 848 issues. Agentic explorers crush BM25 (HitFile 0.65 vs 0.08), but line-level recall stalls at 0.15-0.20, and that gap is what limits repairs.
NITP adds a dense target to next-token prediction: forecast a shallow-layer embedding of the next token. On a 9B MoE it lifts MMLU-Pro by 5.71 points for about 2 percent extra training FLOPs and zero inference cost.
AI Agents · Shanghai Jiao Tong University
ARIS is an open-source autonomous-research harness pairing a Claude-family executor with a GPT-family reviewer to attack the failure it calls 'plausible unsupported success', with 65+ skills and a three-stage audit.
Efficient AI · Shanghai Jiao Tong University
Domino lets a parallel drafter propose a whole block at once, then a lightweight head adds back the token-to-token dependencies — reaching up to 5.49x speedup on Transformers and 5.8x throughput on SGLang.
AI Agents · Shanghai Jiao Tong University
MMSkills packages textual procedures, runtime state cards, and keyframes into reusable skills for visual agents, lifting Qwen3-VL-235B from 21.34% to 39.17% on OSWorld and a small 8B model from 10.78% to 25.40%.