Evaluating Consistency and Reasoning Capabilities of Large Language Models
Paper • 2404.16478 • Published
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https://ai.umbc.edu/
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yashsaxena21
authored 7
papers about 1 month 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
manasgaur
authored 5
papers 10 months ago
Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models
Paper • 2308.12272 • Published
Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models
Paper • 2308.13467 • Published
COBIAS: Contextual Reliability in Bias Assessment
Paper • 2402.14889 • Published
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
Paper • 2412.16135 • Published
Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context
Paper • 2412.16359 • Published
