Papers by Seyyed Saeid Cheshmi
Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling (2025.findings-emnlp)
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| Challenge: | Large Language Models (LLMs) are increasingly relied upon for solving complex reasoning tasks. |
| Approach: | They propose to use Process Reward Models to scale inference time compute by generating in parallel . they propose to provide early signals that enable the rejection of suboptimal candidates before full generation of step is complete. |
| Outcome: | The proposed method achieves 1.4 – 9 reduction in inference FLOPs without degrading final performance. |
Reasoning Beyond Literal: Cross-style Multimodal Reasoning for Figurative Language Understanding (2026.findings-eacl)
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| Challenge: | figurative language is essential for expressing intent, emotion, and perspective . figural language is often dependent on Styles Reasoning, causing incongruities between expressions . |
| Approach: | They propose a framework that induces reasoning capabilities to compact vision–language models . figurative language is essential in expressing intent, emotion, and perspective . |
| Outcome: | The proposed framework can interpret multimodal figurative language, provide transparent reasoning traces, and generalize across multiple figurativ styles. |