7 papers
Halluverse-M^3: A multitask multilingual benchmark for hallucination in LLMs
Samir Abdaljalil, Parichit Sharma, Erchin Serpedin +1
Hallucinations in large language models remain a persistent challenge, particularly in multilingual and generative settings where factual consistency is difficult to maintain. Whil…
Audit-of-Understanding: Posterior-Constrained Inference for Mathematical Reasoning in Language Models
Samir Abdaljalil, Erchin Serpedin, Khalid Qaraqe +1
Large language models (LLMs) often generate reasoning traces that appear coherent but rest on unsupported assumptions, leading to hallucinated conclusions. Prior work mainly addres…
Evaluating Multilingual and Code-Switched Alignment in LLMs via Synthetic Natural Language Inference
Samir Abdaljalil, Erchin Serpedin, Khalid Qaraqe +1
Large language models (LLMs) are increasingly applied in multilingual contexts, yet their capacity for consistent, logically grounded alignment across languages remains underexplor…
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…