finetune the language model for task of natural language inference
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Updated
Jun 11, 2023 - Python
finetune the language model for task of natural language inference
Bachelor Thesis comparing two Relation-Inference Datasets
Репозиторий для "Технологии проектирования и сопровождения информационных систем"
Fine-tuning ModernBERT for natural language inference (entailment / contradiction / neutral)
A vibe-coded news summarizer that combines Seq2Seq generation, NLI-based consistency checking, NER-driven entity tracking, and SBERT semantic embeddings to deliver context-aware summaries.
Fine-tune transformers with NLI data
GPU-accelerated semantic matching RAG pipeline for cross-venue prediction market arbitrage. Two-stage retrieve-then-rerank (Qwen3-Embedding + DeBERTa-v3 NLI) over Qdrant, with venue-agnostic discovery, micro-batch GPU scheduling, and esports market latency analysis.
Natural Language Inference, SNLI dataset
Antibodies for LLMs hallucinations (grouping LLM as a judge, NLI, reward models)
We augmented an already existing BERT Tiny Transformer network designed to train the Google NQ dataset to randomly sample some of the tokens in a question with its synonyms. The idea comes from the process of image data augmentation used in computer vision pipelines. This experiment directly tackles the concepts of Natural Language Inference and…
Re-implementation of BIMPM(Bilateral Multi-Perspective Matching for Natural Language Sentences)
AI assistant system
SIRC: An AI-powered intent recognition engine for robotics using Zero-Shot NLP (BART-Large-MNLI) to map natural language commands to hardware actions without hardcoded keywords.
🔍 Validate AI-generated content accuracy in fintech and compliance, ensuring safer information by checking claims against verified knowledge bases.
Hallucination detection in RAG systems using Semantic Grounding Index (SGI) and Natural Language Inference (NLI)
Official Python SDK for DocVerify — AI output verification API
LLM accuracy checker for fintech & compliance: RAG, NLI (RoBERTa-MNLI), FAISS, sentence-transformers, Streamlit demos
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