Last Translation Benchmark
Paper โข 2609.04173 โข Published โข 33
AI & ML interests
None defined yet.
Recent Activity
View all activity
azminetoushikwasiย
authored 15
papers 4 days ago
Reward Engineering for Reinforcement Learning in Software Tasks
Paper โข 2601.19100 โข Published
BengaliMoralBench: A Benchmark for Auditing Moral Reasoning in Large Language Models within Bengali Language and Culture
Paper โข 2511.03180 โข Published
ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
Paper โข 2603.14107 โข Published
Integrating Explainable Machine Learning and Mixed-Integer Optimization for Personalized Sleep Quality Intervention
Paper โข 2603.16937 โข Published
TimeSpot: Benchmarking Geo-Temporal Understanding in Vision-Language Models in Real-World Settings
Paper โข 2603.06687 โข Published
SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?
Paper โข 2602.03916 โข Published โข 12
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
Paper โข 2601.18026 โข Published
Mina: A Multilingual LLM-Powered Legal Assistant Agent for Bangladesh for Empowering Access to Justice
Paper โข 2511.08605 โข Published
Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
Paper โข 2504.07072 โข Published โข 9
IITR-CIOL@NLU of Devanagari Script Languages 2025: Multilingual Hate Speech Detection and Target Identification in Devanagari-Scripted Languages
Paper โข 2412.17947 โข Published
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
Paper โข 2411.19799 โข Published โข 16
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution
Paper โข 2410.15927 โข Published
Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
Paper โข 2410.17210 โข Published
Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language Processing
Paper โข 2410.17225 โข Published
Post
2189
bench-labs/GCTokenizer-v1 , a multilingual tokenizer which does not require a training corpus
bench-labs developed **GCTokenizer-v1**, which is a multi-lingual tokenizer
Available in four sizes: 32K, 65K, 131K and 262K tokens "S, M, L, XL"
It utilizes an encoding scheme which allows it to handle characters in any language around the world
General (multi lingual)
Consensus (from multiple model tokenizers consensus)
Tokenizer
We included an implementation script too,
built like BPE- it can encode arbitrary text, most of the time, efficiently
Available in four sizes: 32K, 65K, 131K and 262K tokens "S, M, L, XL"
It utilizes an encoding scheme which allows it to handle characters in any language around the world
General (multi lingual)
Consensus (from multiple model tokenizers consensus)
Tokenizer
We included an implementation script too,
built like BPE- it can encode arbitrary text, most of the time, efficiently
Post
2325
all models now also run on zerogpu!
BenchLabs/Demo-FAST
Speed measurements:
image ~5s (pixelmodel v5 ~0.5s)
3D ~2s
audio ~3s +(upload)
insane.
Yes, we made a new model: bench-labs/AudioModel-v1
BIG thanks to @TobiasLogic
BenchLabs/Demo-FAST
Speed measurements:
image ~5s (pixelmodel v5 ~0.5s)
3D ~2s
audio ~3s +(upload)
insane.
Yes, we made a new model: bench-labs/AudioModel-v1
BIG thanks to @TobiasLogic
Post
2322
๐งช SlopFinder is here!!
We're building a dataset to study what humans actually consider AI slop.
SlopFinder shows you a random piece of AI-generated text and gives you one simple control: **how slop is it?**
No categories. No complicated forms. Just vote and move on.
Every vote helps build the dataset. ๐งฉ
How does it work?
Samples are pulled from existing datasets, shown anonymously, and collected into our annotation pool. After enough votes, they're exported to Hugging Face for everyone to use.
This is an early MVP, so the dataset is small and the system is still evolving.
Vote here:
https://bench-labs.web.app/slopfinder.html
(refresh page if you want to skip)
Dataset:
bench-labs/slop-classification
@benchlabs
We're building a dataset to study what humans actually consider AI slop.
SlopFinder shows you a random piece of AI-generated text and gives you one simple control: **how slop is it?**
No categories. No complicated forms. Just vote and move on.
Every vote helps build the dataset. ๐งฉ
How does it work?
Samples are pulled from existing datasets, shown anonymously, and collected into our annotation pool. After enough votes, they're exported to Hugging Face for everyone to use.
This is an early MVP, so the dataset is small and the system is still evolving.
Vote here:
https://bench-labs.web.app/slopfinder.html
(refresh page if you want to skip)
Dataset:
bench-labs/slop-classification
@benchlabs
- 17 replies
Q-bertย
authored a
paper about 1 month ago
Post
119
๐งฉ PixelModel v6 is here! 155M parameters
Try it out on our demo (~15 seconds per image) 256x256 ๐
BenchLabs/Demo
Disclaimer: This model does not produce high quality (4k) and does not follow detailed prompts. Does not have negative prompt. ๐
How long did it take to train?
55 hours across two A100 gpu's ๐ฅ
Model repo:
bench-labs/PixelModel-v6
@benchlabs
Try it out on our demo (~15 seconds per image) 256x256 ๐
BenchLabs/Demo
Disclaimer: This model does not produce high quality (4k) and does not follow detailed prompts. Does not have negative prompt. ๐
How long did it take to train?
55 hours across two A100 gpu's ๐ฅ
Model repo:
bench-labs/PixelModel-v6
@benchlabs
- 3 replies