Papers by Ai Jian

3 papers
PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling (2026.acl-long)

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Challenge: Existing reward models lack generative and reasoning capabilities, resulting in poor performance.
Approach: They propose a reward-aware task-adaptive reward model that enables pointwise training using readily available pairwise data via a novel Preference-Aware Reward mechanism.
Outcome: The proposed reward model achieves an average relative improvement of 8.7% over the base models on RewardBench and RMBench.
InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning (2025.findings-emnlp)

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Challenge: InfiMM-WebMath-40B is a dataset of interleaved image-text documents . it consists of 24 million web pages, 85 million image URLs, and 40 billion text tokens .
Approach: InfiMM-WebMath-40B is a high-quality dataset of interleaved image-text documents . it contains 24 million web pages, 85 million image URLs, and 40 billion text tokens .
Outcome: InfiMM-WebMath-40B is a high-quality dataset of interleaved image-text documents . it consists of 24 million web pages, 85 million image URLs, and 40 billion text tokens .
Harmonizing Dense and Sparse Signals in Multi-turn RL: Dual-Horizon Credit Assignment for Industrial Sales Agents (2026.acl-industry)

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Challenge: Large language models for industrial sales require balancing long-term commercial objectives with immediate linguistic constraints such as fluency and compliance.
Approach: They propose a framework that disentangles optimization across time scales by normalizing advantages from turn-level and session-level rewards before fusion.
Outcome: The proposed framework outperforms the state-of-the-art GRPO model in conversion rate and identity detection rate.

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