1 citations · 2 across the 10 of their papers we have counts for
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Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
Samir Abdaljalil, Hasan Kurban, Khalid Qaraqe +1
Large language models (LLMs) have shown strong performance across natural language reasoning tasks, yet their reasoning processes remain brittle and difficult to interpret. Prompti…
HalluVerse25: Fine-grained Multilingual Benchmark Dataset for LLM Hallucinations
Samir Abdaljalil, Hasan Kurban, Erchin Serpedin
Large Language Models (LLMs) are increasingly used in various contexts, yet remain prone to generating non-factual content, commonly referred to as "hallucinations". The literature…
SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs
Samir Abdaljalil, Hasan Kurban, Parichit Sharma +2
Large language models (LLMs) are increasingly deployed across diverse domains, yet they are prone to generating factually incorrect outputs - commonly known as "hallucinations." Am…
SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs
Samir Abdaljalil, Filippo Pallucchini, Andrea Seveso +3
Despite the state-of-the-art performance of Large Language Models (LLMs), these models often suffer from hallucinations, which can undermine their performance in critical applicati…