Post
44
https://huggingface.co/blog/javadtaghia/atmem-239-shared-memory-for-coding-agents-and-what
Review of AtMem Code memory. It worths trying
Review of AtMem Code memory. It worths trying
AI & ML interests
OpenFree_AI
Recent Activity
View all activity
javadtaghia
posted an update about 17 hours ago
javadtaghia
posted an update 4 days ago
Post
130
It is not always positive results that worth noting.
I ran a long run of training to improve AtMem (agent memory) on storage path using Laya as a decision model. However, I found it did not give me any better result than original AtMem.
Indeed we can use laya on the retrieval path, we have used than by pluging Jev. So we kinda proved something that is still a gap in memory systems (improving storage) is not as easy as it sounds. Check details https://huggingface.co/blog/javadtaghia/we-fine-tuned-a-memory-classifier-for-our-agent-he
I ran a long run of training to improve AtMem (agent memory) on storage path using Laya as a decision model. However, I found it did not give me any better result than original AtMem.
Indeed we can use laya on the retrieval path, we have used than by pluging Jev. So we kinda proved something that is still a gap in memory systems (improving storage) is not as easy as it sounds. Check details https://huggingface.co/blog/javadtaghia/we-fine-tuned-a-memory-classifier-for-our-agent-he
- 4 replies
javadtaghia
posted an update 11 days ago
Post
68
AtMem 2.3.8 beat our recorded local Mem0 and AgentRunbook-R configurations on the LongMemEval-V2 development sample: 5/23 vs 1/23 and 4/23.
On DolphinBench, AtMem scored 9/30 vs Mem0’s 7/30.
Please check
https://huggingface.co/blog/javadtaghia/atmem-2-3-8
https://github.com/aetna000/atmem/releases/tag/v2.3.8
On DolphinBench, AtMem scored 9/30 vs Mem0’s 7/30.
Please check
https://huggingface.co/blog/javadtaghia/atmem-2-3-8
https://github.com/aetna000/atmem/releases/tag/v2.3.8
javadtaghia
posted an update 12 days ago
Post
113
RLCD: Are We Moving from AI Models That Generate Answers to Models That Make Calibrated Decisions?
https://huggingface.co/blog/javadtaghia/rlcd-are-we-moving-from-ai-models-that-generate-an
https://huggingface.co/blog/javadtaghia/rlcd-are-we-moving-from-ai-models-that-generate-an
javadtaghia
posted an update 21 days ago
Post
126
https://huggingface.co/blog/javadtaghia/the-100-frontier-compute-problem
What happens when AI stops answering questions and starts working for hours?
I have been thinking about the economics of frontier coding models.
What happens when AI stops answering questions and starts working for hours?
I have been thinking about the economics of frontier coding models.
javadtaghia
posted an update 23 days ago
Post
117
I’m preparing to submit my article to arXiv and need an endorsement for the cs.AI category.
If you’re eligible to endorse submissions in this area and would be willing to help, I’d really appreciate it. Please DM me and I can send you the arXiv endorsement link.
Thank you!
from arXiv cs.AI community, can anyone support me?
If you’re eligible to endorse submissions in this area and would be willing to help, I’d really appreciate it. Please DM me and I can send you the arXiv endorsement link.
Thank you!
from arXiv cs.AI community, can anyone support me?
iproskurina
authored 2
papers about 2 months ago
iproskurina
submitted a
paper to Daily Papers about 2 months ago
seawolf2357
submitted a
paper to Daily Papers about 2 months ago
iproskurina
authored a
paper 2 months ago
iproskurina
submitted a
paper to Daily Papers 2 months ago
iproskurina
authored 3
papers 5 months ago
Fair-GPTQ: Bias-Aware Quantization for Large Language Models
Paper • 2509.15206 • Published • 1
HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection
Paper • 2511.06391 • Published • 1
RILEC: Detection and Generation of L1 Russian Interference Errors in English Learner Texts
Paper • 2603.07366 • Published
seawolf2357
submitted a
paper to Daily Papers 5 months ago
javadtaghia
posted an update 9 months ago
Post
230
We have published a complete paper about AtMem.Ai
Check it out here.
Please refer to the technical paper below.
https://github.com/aetna000/aetnamem/blob/e24d5aa74e62dbebeeb28a2e49b5c4d2006bbb4d/paper/aetnamem-control-plane.pdf
Check the benchmark
https://huggingface.co/spaces/Aetna000/MemoryStackBench
Check it out here.
Please refer to the technical paper below.
https://github.com/aetna000/aetnamem/blob/e24d5aa74e62dbebeeb28a2e49b5c4d2006bbb4d/paper/aetnamem-control-plane.pdf
Check the benchmark
https://huggingface.co/spaces/Aetna000/MemoryStackBench
- 4 replies
javadtaghia
posted an update 9 months ago
Post
1,591
MAD-GRPO: https://huggingface.co/blog/telcom/mad-grpo
In R1-Zero-Like Training *, Dr.GRPO treats GRPO’s by dropping std, but that often comes with a hidden side effect: length-weighted updates that can nudge model toward verbosity.
MAD-GRPO provides robust scale (MAD + epsilon) per-token normalization stability without verbosity bias.
*https://huggingface.co/papers/2503.20783
In R1-Zero-Like Training *, Dr.GRPO treats GRPO’s by dropping std, but that often comes with a hidden side effect: length-weighted updates that can nudge model toward verbosity.
MAD-GRPO provides robust scale (MAD + epsilon) per-token normalization stability without verbosity bias.
*https://huggingface.co/papers/2503.20783
javadtaghia
posted an update 10 months ago
Post
215
CAQBI Index
is like a credit score for how an AI understands a concept.
Please check
https://huggingface.co/blog/telcom/caqbi
is like a credit score for how an AI understands a concept.
Please check
https://huggingface.co/blog/telcom/caqbi
- 1 reply
javadtaghia
posted an update 10 months ago
Post
235
if you are interested in HUB (https://saemi410.github.io/HUB/ I recommend the fork I have created with some updates to make it smooth in running a smoke test git@github.com:javadtaghia/HUB.git) and you want to run the UCE (https://unified.baulab.info), please check:
- Model weights for UCE here: https://huggingface.co/telcom/uce_NSFW
- Model weights for ESD here: https://huggingface.co/telcom/esd_NSFW
- datasets and more download materials from: https://huggingface.co/datasets/telcom/HUB_reference_dataset
Please read the notes in the model card.
- Model weights for UCE here: https://huggingface.co/telcom/uce_NSFW
- Model weights for ESD here: https://huggingface.co/telcom/esd_NSFW
- datasets and more download materials from: https://huggingface.co/datasets/telcom/HUB_reference_dataset
Please read the notes in the model card.