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Prasann Singhal

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
2024 · Sprague, Zayne, Yin, Fangcong, et al. · arXiv (Cornell University) · 13
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ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
2025 · Liyan Tang, Grace Kim, et al. · neural information processing systems · 4
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Assessing Out-of-Domain Language Model Performance from Few Examples
2023 · Prasann Singhal, Jarad Forristal, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 4
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A Long Way to Go: Investigating Length Correlations in RLHF
2023 · Singhal, Prasann, Goyal, Tanya, et al. · arXiv (Cornell University) · 3
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No More Free Lunch: Corpus Task Complexity Matters as Corpora Grow
2026 · Singhal, Prasann, Bertsch, Amanda, et al. · arXiv (Cornell University)
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Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale
2026 · Gollapudi, Siddharth, Gupta, Nilesh, et al. · arXiv (Cornell University)
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Adaptive Margin RLHF via Preference over Preferences
2025 · Chittepu, Yaswanth, Singhal, Prasann, et al. · arXiv (Cornell University)
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Assessing Robustness to Spurious Correlations in Post-Training Language Models
2025 · Shuieh, Julia, Singhal, Prasann, et al. · arXiv (Cornell University)
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D2PO: Discriminator-Guided DPO with Response Evaluation Models
2024 · Singhal, Prasann, Lambert, Nathan, et al. · arXiv (Cornell University)
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EEL: Efficiently Encoding Lattices for Reranking
2023 · Prasann Singhal, Jiacheng Xu, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
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Works count: 12
Citation count: 24
H-index: 3
I10-index: 1
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