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cs.CL2026
Chained Recursive Language Models for Multi-Iteration Reasoning
Purbesh Mitra, Sennur Ulukus
Long context reasoning in large language models (LLMs) is usually constrained by the fact that a single inference trajectory has to simultaneously explore the context, store interm…
cs.CL2025
Semantic Soft Bootstrapping: Long Context Reasoning in LLMs without Reinforcement Learning
Purbesh Mitra, Sennur Ulukus
Long context reasoning in large language models (LLMs) has demonstrated enhancement of their cognitive capabilities via chain-of-thought (CoT) inference. Training such models is us…
cs.CL2025
MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs
Purbesh Mitra, Sennur Ulukus
Recent advancements in the reasoning capabilities of large language models (LLMs) show that employing group relative policy optimization (GRPO) algorithm for reinforcement learning…