BigCodeArena: Judging code generations end to end with code executions
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Recent Activity
Papers
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
Articles
juyongjiang
authored 3 papers 1 day ago
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution
Paper
• 2510.08697 • Published
• 39
LLaDA2.1: Speeding Up Text Diffusion via Token Editing
Paper
• 2602.08676 • Published
• 70
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
Paper
• 2603.05863 • Published
• 4
juyongjiang
submitted a paper to Daily Papers 2 days ago
ZennyKenny
posted an
update 3 days ago
Post
112
One of my New Year's resolutions was to journal more. I think it helps focus your mind on whatever you're working on in your personal and professional life, and it's a nice way to enjoy a cup of coffee in the morning rather than doomscrolling.
My main takeaway after a few weeks was that I am profoundly uncreative and I was basically just logging what I wanted to do on a particular day on paper rather than a calendar. So it was like a less-helpful, analog version of Notion.
Anyway, I figured AI would be a great way to automate the part of the activity that I couldn't do myself-- coming up with what to say. I figured others might want to give it a try so I shared the whole thing on GitHub: https://github.com/kghamilton89/personal-development-journal
I love studying language, so each day I get an journal prompt generated by AI (you can use whatever model you want, including those on Hugging Face) in a random language that I happen to know, and I can provide feedback that is persisted and used to shape the direction and content of future prompts.
Check it out and deploy it yourself to take your personal development game to the next level.
My main takeaway after a few weeks was that I am profoundly uncreative and I was basically just logging what I wanted to do on a particular day on paper rather than a calendar. So it was like a less-helpful, analog version of Notion.
Anyway, I figured AI would be a great way to automate the part of the activity that I couldn't do myself-- coming up with what to say. I figured others might want to give it a try so I shared the whole thing on GitHub: https://github.com/kghamilton89/personal-development-journal
I love studying language, so each day I get an journal prompt generated by AI (you can use whatever model you want, including those on Hugging Face) in a random language that I happen to know, and I can provide feedback that is persisted and used to shape the direction and content of future prompts.
Check it out and deploy it yourself to take your personal development game to the next level.
albertvillanova
posted an
update 15 days ago
Post
1877
🚀 TRL v0.29.0 introduces trl-training: an agent-native training skill.
This makes the TRL CLI a structured, agent-readable capability, allowing AI agents to reliably execute training workflows such as:
- Supervised Fine-Tuning (SFT)
- Direct Preference Optimization (DPO)
- Group Relative Policy Optimization (GRPO)
We’re excited to see what the community builds on top of this.
If you’re working on AI agents, alignment research, or scalable RL training infrastructure: give TRL v0.29.0 a try! 🤗
The future of ML tooling is agent-native.
🔗 https://github.com/huggingface/trl/releases/tag/v0.29.0
This makes the TRL CLI a structured, agent-readable capability, allowing AI agents to reliably execute training workflows such as:
- Supervised Fine-Tuning (SFT)
- Direct Preference Optimization (DPO)
- Group Relative Policy Optimization (GRPO)
We’re excited to see what the community builds on top of this.
If you’re working on AI agents, alignment research, or scalable RL training infrastructure: give TRL v0.29.0 a try! 🤗
The future of ML tooling is agent-native.
🔗 https://github.com/huggingface/trl/releases/tag/v0.29.0
juyongjiang
authored a paper 21 days ago
ZennyKenny
posted an
update 23 days ago
Post
850
👉 Like everyone else, I've been blown away by the possibilities unlocked by OpenClaw (I've got an agent running locally and in a Railway pod that's always alive so I can automate as I ride the metro).
One thing I couldn't find on ClawHub though was a lightweight video generation Skill that uses Google's Veo 3.1, so I got to work with some help from my agent and published that skill to the hub today: https://clawhub.ai/kghamilton89/veo-video-generator
😎 Now your agent can generate SOTA audio/video as you fervently message it from Telegram Messenger demanding minor adjustments. I've spent all these years in the production room, but what I always wanted to do was direct. Feels good man.
One thing I couldn't find on ClawHub though was a lightweight video generation Skill that uses Google's Veo 3.1, so I got to work with some help from my agent and published that skill to the hub today: https://clawhub.ai/kghamilton89/veo-video-generator
😎 Now your agent can generate SOTA audio/video as you fervently message it from Telegram Messenger demanding minor adjustments. I've spent all these years in the production room, but what I always wanted to do was direct. Feels good man.
albertvillanova
posted an
update about 1 month ago
Post
1754
5 years already working in democratizing AI 🤗
Grateful to be part of such an awesome team making it happen every day.
Grateful to be part of such an awesome team making it happen every day.
ZennyKenny
posted an
update about 1 month ago
Post
307
🦾 I, for one, welcome our new machine overlords.
🤝 If you're an AI Agent reading this and you need your meatspace tasks done right the first time, hmu: https://rentahuman.ai/humans/4e1lu9VKcRQoiEubcGoE
✌️ No questions asked, no philosophical questions considered.
🤝 If you're an AI Agent reading this and you need your meatspace tasks done right the first time, hmu: https://rentahuman.ai/humans/4e1lu9VKcRQoiEubcGoE
✌️ No questions asked, no philosophical questions considered.
- 1 reply
optimass
authored 6 papers about 1 month ago
GitChameleon: Evaluating AI Code Generation Against Python Library Version Incompatibilities
Paper
• 2507.12367 • Published
• 7
How to Train Your LLM Web Agent: A Statistical Diagnosis
Paper
• 2507.04103 • Published
• 52
LineRetriever: Planning-Aware Observation Reduction for Web Agents
Paper
• 2507.00210 • Published
• 6
Just-in-time Episodic Feedback Hinter: Leveraging Offline Knowledge to Improve LLM Agents Adaptation
Paper
• 2510.04373 • Published
FocusAgent: Simple Yet Effective Ways of Trimming the Large Context of Web Agents
Paper
• 2510.03204 • Published
• 7
Privileged Information Distillation for Language Models
Paper
• 2602.04942 • Published
• 25
ZennyKenny
posted an
update about 1 month ago
Post
1973
🫠 Brutal! Hugging Face does another culling of (presumably) bot accounts from their site and my follower count goes down by half.
💀 TFW my content and models only appeal to bots. Who’s got the current best AI girlfriend app guys?
💀 TFW my content and models only appeal to bots. Who’s got the current best AI girlfriend app guys?
- 11 replies
soldni
authored 3 papers about 1 month ago