East China Normal University

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https://www.ecnu.edu.cn/

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Recent Activity

Alephia submitted a paper about 1 month ago

ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation

mingzhema submitted a paper about 2 months ago

TreeSeeker: Tree-Structured Trial, Error, and Return in Deep Search

mingzhema authored a paper about 2 months ago

TreeSeeker: Tree-Structured Trial, Error, and Return in Deep Search

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Papers

ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation

Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning

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Nymbo

posted an update 10 days ago

Post

5460

Introducing Inflect-v2, two exceptionally small, open-weight English TTS models at just 3.9M and 9.3M parameters. Both generate speech multiple times faster than real-time on CPU. Despite their size, Inflect-v2 delivers quality that is competitive with much larger lightweight TTS systems, including KittenTTS, Piper, and Supertonic-3.

CPU, CUDA, PyTorch, and ONNX are supported. Apache 2.0.

See it for yourselves:
owensong/Inflect-Micro-v2
owensong/Inflect-Nano-v2

Try the Demos:
Nymbo/Inflect-TTS (unlimited CPU usage)
owensong/Inflect-v2 (ultra-fast ZeroGPU usage)

6 replies

Alephia

submitted a paper to Daily Papers about 1 month ago

ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation

Paper • 2606.23104 • Published Jun 22 • 5

sfadcasdcasdc

authored a paper about 2 months ago

When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM Agents

Paper • 2606.05806 • Published Jun 4 • 23

heroding77

submitted a paper to Daily Papers 2 months ago

Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning

Paper • 2605.28424 • Published May 27 • 32

woria

authored a paper 3 months ago

Break the Optimization Barrier of LLM-Enhanced Recommenders: A Theoretical Analysis and Practical Framework

Paper • 2604.20490 • Published Apr 22

Ujjwal-Tyagi

posted an update 3 months ago

Post

494

6 Open-Source Libraries to FineTune LLMs
1. Unsloth
GitHub: https://github.com/unslothai/unsloth
→ Fastest way to fine-tune LLMs locally
→ Optimized for low VRAM (even laptops)
→ Plug-and-play with Hugging Face models

2. Axolotl
GitHub: https://github.com/OpenAccess-AI-Collective/axolotl
→ Flexible LLM fine-tuning configs
→ Supports LoRA, QLoRA, multi-GPU
→ Great for custom training pipelines

3. TRL (Transformer Reinforcement Learning)
GitHub: https://github.com/huggingface/trl
→ RLHF, DPO, PPO for LLM alignment
→ Built on Hugging Face ecosystem
→ Essential for post-training optimization

4. DeepSpeed
GitHub: https://github.com/microsoft/DeepSpeed
→ Train massive models efficiently
→ Memory + speed optimization
→ Industry standard for scaling

5. LLaMA-Factory
GitHub: https://github.com/hiyouga/LLaMA-Factory
→ All-in-one fine-tuning UI + CLI
→ Supports multiple models (LLaMA, Qwen, etc.)
→ Beginner-friendly + powerful

6. PEFT
GitHub: https://github.com/huggingface/peft
→ Fine-tune with minimal compute
→ LoRA, adapters, prefix tuning
→ Best for cost-efficient training

1 reply

heroding77

authored 2 papers 3 months ago

OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis

Paper • 2604.15093 • Published Apr 16 • 30

Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale

Paper • 2603.25040 • Published Mar 26 • 134

Ujjwal-Tyagi

posted an update 3 months ago

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433

This is the best set of AI and ML books and a full guide to learning machine learning from the ground up. This is my study material that I used, so I thought it would be helpful to share it with others. Like, share, and add it to your collection at Ujjwal-Tyagi/ai-ml-foundations-book-collection.

Ujjwal-Tyagi

posted an update 3 months ago

Post

3974

We are hiring at Shirova AI. We need AI researchers and engineers to work in our research lab. Shirova AI is a research lab in India, so we can help our researchers move to nearby workspaces or let them work from home without ever coming to the lab. We're building our founding team, so the pay will be good. You can learn, so don't hesitate to mail us at: careers@shirova.com

FuNz

submitted a paper to Daily Papers 4 months ago

DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off

Paper • 2604.13902 • Published Apr 15 • 62

chenjiawei1018

submitted a paper to Daily Papers 4 months ago

Tex3D: Objects as Attack Surfaces via Adversarial 3D Textures for Vision-Language-Action Models

Paper • 2604.01618 • Published Apr 2 • 15

Ujjwal-Tyagi

posted an update 4 months ago

Post

2839

I am sharing my study material for AI & ML, these books are really a "bible" and gives very strong foundation, I also have given guidance, introduction and my master notes in the dataset repo card! I hope you will find them helpful, if you have any queries, just start a discussion and I am always there to help you out!
Ujjwal-Tyagi/ai-ml-foundations-book-collection

4 replies

Nymbo

posted an update 5 months ago

Post

7835

We should really have a release date range slider on the /models page. Tired of "trending/most downloaded" being the best way to sort and still seeing models from 2023 on the first page just because they're embedded in enterprise pipelines and get downloaded repeatedly. "Recently Created/Recently Updated" don't solve the discovery problem considering the amount of noise to sift through.

Slight caveat: Trending actually does have some recency bias, but it's not strong/precise enough.

3 replies

Ujjwal-Tyagi

posted an update 5 months ago

Post

429

We have now LTX 2.3 with more better visual quality and richer sound, check it out! Lightricks/LTX-2.3

woria

authored a paper 5 months ago

Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems

Paper • 2509.20989 • Published Sep 25, 2025 • 1

Ujjwal-Tyagi

posted an update 5 months ago

Post

3007

Public reports allege that Anthropic gobbled up trillions of tokens of copyrighted material and public data to build their castle. 🏰📄 Now that they're sitting on top, they're begging for special laws to protect their profits while pulling the ladder up behind them. 🪜🚫

But the hypocrisy meter just broke! 📉 They are accusing Chinese labs like DeepSeek, Minimax, and Kimi of "huge distillation attacks. The Reality is that You can't just loot the entire internet's library, lock the door, and then sue everyone else for reading through the window. Stop trying to gatekeep the tech you didn't own in the first place. Read the complete article on it: https://huggingface.co/blog/Ujjwal-Tyagi/the-dark-underbelly-of-anthropic

3 replies

Ujjwal-Tyagi

posted an update 6 months ago

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234

Qwen 3.5 Model is here! Supporting 1m context length by default, It is giving much good performance and competitive to Claude Opus 4.6, Qwen/Qwen3.5-397B-A17B, here it's GGUF: unsloth/Qwen3.5-397B-A17B-GGUF, Follow me and turn on the notification for the latest news!