PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking
Paper
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2410.12375
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Published
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5
PRefLexOR
PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking
Note Paper on arXiv
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In-situ graph reasoning and knowledge expansion using Graph-PReFLexOR
Paper • 2501.08120 • Published • 6
lamm-mit/PRefLexOR_ORPO_DPO_EXO_10242024
Text Generation • 4B • Updated • 7Note Model produces thinking tokens before answering
lamm-mit/PRefLexOR_ORPO_DPO_EXO_REFLECT_10222024
Text Generation • 4B • Updated • 7 • 3Note Model produces both thinking and reflection tokens before answering
lamm-mit/meta-llama-Meta-Llama-3.2-3B-Instruct-Reasoning-Tokenizer
UpdatedNote Llama tokenizer with special tokens added (thinking, reflection, scratchpad, response)
lamm-mit/Graph-Preflexor_01062025
Text Generation • 4B • Updated • 9 • 11Note Model with in-situ graph and abstract pattern reasoning
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lamm-mit/Graph-Preflexor-8b_12292025
Text Generation • 8B • Updated • 2.53k • 2