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Home/Authors/Armando Solar-Lezama

Armando Solar-Lezama

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
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Publications per year

2
26

Top categories

ML×2Stats ML×1AI×1NLP×1

Frequent co-authors

Nicolas Emmenegger1×
Theo X. Olausson1×
Chara Podimata1×
Mingzhong Sun1×
Teresa Yeo1×
Tan Zhi-Xuan1×

Research Timeline

2026
An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models

This paper investigates the production-evaluation gap in Large Reasoning Models (LRMs), finding that while LRMs excel at generating solutions, they struggle significantly to evaluate flawed reasoning, often exhibiting an answer confirmation bias.

Conformal Language Modeling via Posterior Sampling

The paper proposes sampling directly from approximations of an LLM posterior, conditioned on high-scoring regions, to generate more coherent and useful text compared to existing post-hoc hallucination filtering methods.

Highlighted terms show continued research focus across papers

Papers

cs.LGstat.MLRecentJun 2, 2026

Conformal Language Modeling via Posterior Sampling

Nicolas Emmenegger, Theo X. Olausson, Armando Solar-Lezama, Chara Podimata

The paper proposes sampling directly from approximations of an LLM posterior, conditioned on high-scoring regions, to generate more coherent and useful text compared to existing post-hoc hallucination…

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cs.AIcs.CLcs.LGRecentMay 31, 2026

An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models

Mingzhong Sun, Teresa Yeo, Armando Solar-Lezama, Tan Zhi-Xuan

This paper investigates the production-evaluation gap in Large Reasoning Models (LRMs), finding that while LRMs excel at generating solutions, they struggle significantly to evaluate flawed reasoning,…

View →