70 citations · 301 across the 67 of their papers we have counts for
10 papers · 1 filter
DIVE: Unlocking Self-Improvement in Frozen Language Models Through Diversity-Driven Skill Evolution
Siheng Xiong, Ali Payani, Oguzhan Gungordu +1
Large language models (LLMs) cannot retain post-deployment experience without parameter updates. We introduce DIVE, a diversity-driven framework that enables frozen LLMs to improve…
Adaptive Information Control for Search-Augmented LLM Reasoning
Siheng Xiong, Oguzhan Gungordu, James C. Kerce +1
Search-augmented reasoning agents interleave multi-step reasoning with external retrieval, but uncontrolled retrieval can introduce redundant evidence, saturate the context, and de…
Enhancing Long Chain-of-Thought Reasoning through Multi-Path Plan Aggregation
Siheng Xiong, Ali Payani, Faramarz Fekri
Inference-time scaling enhances the reasoning ability of a language model (LM) by extending its chain-of-thought (CoT). However, existing approaches typically generate the entire r…
Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model
Siheng Xiong, Ali Payani, Yuan Yang +1
Enhancing the reasoning capabilities of language models (LMs) remains a key challenge, especially for tasks that require complex, multi-step decision-making where existing Chain-of…
The Compressor-Retriever Architecture for Language Model OS
Yuan Yang, Siheng Xiong, Ehsan Shareghi +1
Recent advancements in large language models (LLMs) have significantly enhanced their capacity to aggregate and process information across multiple modalities, enabling them to per…
Can LLMs Reason in the Wild with Programs?
Yuan Yang, Siheng Xiong, Ali Payani +2
Large Language Models (LLMs) have shown superior capability to solve reasoning problems with programs. While being a promising direction, most of such frameworks are trained and ev…