Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models Paper • 2506.22950 • Published Jun 28
FlashDP: Private Training Large Language Models with Efficient DP-SGD Paper • 2507.01154 • Published Jul 1
DistZO2: High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel Computing Paper • 2507.03211 • Published Jul 3
When Thinking Backfires: Mechanistic Insights Into Reasoning-Induced Misalignment Paper • 2509.00544 • Published Aug 30 • 11
PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models Paper • 2502.04050 • Published Feb 6 • 1
Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation Paper • 2509.21989 • Published 29 days ago • 22
PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors Paper • 2507.15550 • Published Jul 21 • 5
Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language Models Paper • 2503.08275 • Published Mar 11 • 3
Efficient Multi-modal Large Language Models via Visual Token Grouping Paper • 2411.17773 • Published Nov 26, 2024
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator Paper • 2412.12094 • Published Dec 16, 2024 • 11
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization Paper • 2306.02595 • Published Jun 5, 2023
UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields Paper • 2506.21884 • Published Jun 27 • 12
PlaceIt3D: Language-Guided Object Placement in Real 3D Scenes Paper • 2505.05288 • Published May 8 • 14
PlaceIt3D: Language-Guided Object Placement in Real 3D Scenes Paper • 2505.05288 • Published May 8 • 14
Beyond the Last Answer: Your Reasoning Trace Uncovers More than You Think Paper • 2504.20708 • Published Apr 29 • 23
ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory Paper • 2503.12668 • Published Mar 16 • 1
4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding Paper • 2503.17827 • Published Mar 22 • 8
SmolTulu: Higher Learning Rate to Batch Size Ratios Can Lead to Better Reasoning in SLMs Paper • 2412.08347 • Published Dec 11, 2024 • 4
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards Paper • 2402.01781 • Published Feb 1, 2024 • 4