Gartner posted an on-site Data Scientist role in Gurgaon requiring 3-6 years of applied ML/AI experience, with no salary published. The position covers classical machine learning, NLP, and LLM/agentic…
A team of eight researchers at Google, including Aidan Gomez and Ashish Vaswani, developed the Transformer architecture in 2017 while working on machine translation, leading to the paper 'Attention Is…
Researchers propose EmoLASP, a framework combining language models with Answer Set Programming to predict VAD scores in conversations, improving performance over using language models alone on the IEM…
A new audit framework, the Cross-Platform Fairness Evaluation (CPFE), applied to four transformer models (BERT, RoBERTa, Emotion-DistilRoBERTa, GoEmotions-RoBERTa) trained on a Kaggle mental health co…
Physical Intelligence released S1, a robotic foundation model built for in-context learning that can execute unseen manipulation tasks from a single video prompt without fine-tuning, with horizons up …
A new survey of positional encoding methods in Transformers argues that the field is best understood not as a chronological progression but as answers to a single question: where position information …
A new arXiv study (2608.19558v1) finds that confidence rankings for financial named entity recognition (NER) change under domain shift, with whole-output probability being the strongest in-domain erro…
A study submitted to arXiv on 2 Jun 2026 compares transformer models BERT, RoBERTa, and BART for text summarization, examining their architectures, pretraining strategies, and suitability for extracti…
A developer explains how to detect hallucinations in retrieval-augmented generation (RAG) systems, where an LLM generates responses not supported by the retrieved context. Techniques include comparing…
A new arXiv paper introduces Strategic 16K, a leakage-controlled corpus of 16,000 diplomatic cables from the WikiLeaks Public Library of US Diplomacy (PlusD), and benchmarks six model architectures fo…
A new arXiv study (2608.17325v1) finds that jointly optimizing tokenization with language modeling fundamentally alters token structure, with SSLMs recovering morphologically aligned and contextually …
ColBERT-style multi-vector models, such as colbert-ir/colbertv2.0, are now integrated into the sentence-transformers library, enabling high-precision RAG pipelines through late interaction and MaxSim …
A new benchmark study from arXiv (2608.14551v1) shows that an auxiliary BERT+GCN classifier improves LLM-assisted systematic review screening, with full-context prompt delivery yielding significant F1…
A new arXiv paper (arXiv:2608.14712v1) finds that standard tools for comparing attention rows in transformers hinge on an unreported choice—whether to keep or drop the sink token—which can reverse con…
A developer explains the mental model connecting neural networks, deep learning, Transformers, and attention to understand how LLMs work. The post traces the evolution from basic neural networks to th…
Natural Language Processing (NLP) is an AI field that enables computers to understand and generate human language, powering applications like chatbots, search engines, and content creation. Key techni…
Researchers at an unnamed institution developed a machine-learning pipeline to detect self-introductions in legislative committee testimony, using a dataset of 1.54 million utterances from five state …
Gartner, Inc. is hiring a Software Engineer in Gurgaon with 2-4 years of experience in Python, NLP, BERT, and generative AI to build AI/ML applications for its Consulting & Insights Technology. The ro…
Researchers Mohamed Bahgat, Steven R Wilson, and Walid Magdy introduced Lexpansion, a supervised learning approach that uses dictionary definitions as input features to a BERT transformer model to exp…
A study using BERT, a transformer-based AI model, achieved 97.05% accuracy in multilabel classification of 14,590 Mpox research articles into topics such as outbreaks, vaccination, and epidemiology, a…