3 papers
cs.LG2025
PathFinder: MCTS and LLM Feedback-based Path Selection for Multi-Hop Question Answering
Durga Prasad Maram, Kalpa Gunaratna, Vijay Srinivasan +2
Multi-hop question answering is a challenging task in which language models must reason over multiple steps to reach the correct answer. With the help of Large Language Models and…
cs.CL2025
MossNet: Mixture of State-Space Experts is a Multi-Head Attention
Shikhar Tuli, James Seale Smith, Haris Jeelani +5
Large language models (LLMs) have significantly advanced generative applications in natural language processing (NLP). Recent trends in model architectures revolve around efficient…
cs.CL2025
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing
James Seale Smith, Chi-Heng Lin, Shikhar Tuli +5
The rapid proliferation of large language models (LLMs) in natural language processing (NLP) has created a critical need for techniques that enable efficient deployment on memory-c…