Evaluating Consistency and Reasoning Capabilities of Large Language Models
Paper
• 2404.16478 • Published
Yash Saxena
yashsaxena21
·
AI & ML interests
Interpretability, Source Attribution, Information Retrieval, NLP, NeuroSymbolic AI, Trustworthy AI
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yashsaxena21/IMRNNs Organizations
authored 7 papers 8 days ago
Generation-Time vs. Post-hoc Citation: A Holistic Evaluation of LLM Attribution
Paper
• 2509.21557 • Published
Neurosymbolic Retrievers for Retrieval-augmented Generation
Paper
• 2601.04568 • Published
Attribution in Scientific Literature: New Benchmark and Methods
Paper
• 2405.02228 • Published
IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding Modulation
Paper
• 2601.20084 • Published
Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains
Paper
• 2505.16014 • Published
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
Paper
• 2412.16135 • Published