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cs.CL2026
Knowing Before Answering: Decoding Language Models for Reliable RAG
Syed Mahbubul Huq, Christopher Child, Tillman Weyde +1
In Retrieval-Augmented Generation (RAG), retrieval may provide insufficient or conflicting information needed to answer a question. The system should not only know when to answer b…
cs.CL2026
KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking
Vítor N. Lourenço, Aline Paes, Tillman Weyde +2
Claim verification is a core component of automated fact-checking systems, aimed at determining the truthfulness of a statement by assessing it against reliable evidence sources su…
cs.CL2025
Disentangling concept semantics via multilingual averaging in Sparse Autoencoders
Cliff O'Reilly, Ernesto Jimenez-Ruiz, Tillman Weyde
Connecting LLMs with formal knowledge representation and reasoning is a promising approach to address their shortcomings. Embeddings and sparse autoencoders are widely used to repr…