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cs.CL2026
SynthSentry: Detecting Synthetic Data Contamination in Language Model Training Data
Praveen Kumar Myakala, Ravichandra Namburi, Sowmya Keragodu Jayaramu +1
Large language models trained recursively on their own or other models' outputs undergo model collapse, in which distributional tails and factual accuracy deteriorate while fluency…
cs.CL2026
BeliefShift: Benchmarking Temporal Belief Consistency and Opinion Drift in LLM Agents
Praveen Kumar Myakala, Manan Agrawal, Rahul Manche
LLMs are increasingly used as long-running conversational agents, yet every major benchmark evaluating their memory treats user information as static facts to be stored and retriev…