How Alibaba Cloud’s PAI Powers Cutting‑Edge LLM Research at EMNLP 2025

EMNLP 2025 in Suzhou will feature Alibaba Cloud’s AI platform PAI presenting four accepted papers on knowledge distillation, small‑model reasoning, distilled reasoning models, and an automated RAG benchmark framework, alongside exhibition demos, networking events, and recruitment opportunities for AI talent.

Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
How Alibaba Cloud’s PAI Powers Cutting‑Edge LLM Research at EMNLP 2025

EMNLP 2025 in Suzhou

EMNLP 2025 will be held in Suzhou, China from November 4‑9, gathering top researchers in computational linguistics and natural language processing.

Alibaba Cloud AI Platform PAI’s Contributions

Alibaba Cloud’s big‑data AI platform PAI will showcase four accepted papers, covering efficient knowledge‑distillation toolkits, small‑model reasoning enhancement, distilled reasoning and reward models, and an automated RAG benchmark generation framework.

EasyDistill: A Comprehensive Toolkit for Large‑Model Knowledge Distillation

EasyDistill integrates data synthesis, supervised fine‑tuning, ranking optimization, and reinforcement‑learning methods to support both black‑box and white‑box distillation for LLMs, and provides open‑source distilled models such as DistilQwen.

CRV: Critique‑Rethink‑Verify for Small LLM Reasoning

The CRV framework uses multiple LLM agents to evaluate, refine, and verify chain‑of‑thought reasoning, combined with the Cognitive Preference Optimization (CogPO) algorithm to align training strategies with the small model’s cognitive abilities, achieving superior performance on benchmarks like AIME 2024 and MATH‑500.

DistilQwen Series: Industrial‑Grade Distilled Reasoning Models

Four DistilQwen variants (DistilQwen2.5‑R1, DistilQwen‑ThoughtX, DistilQwen‑ThoughtY, and a distilled reward model) balance accuracy and speed for diverse industrial tasks, and are fully integrated into EasyDistill.

AutoEvolve: Automatic Query Evolution for Scalable RAG Evaluation

AutoEvolve generates corpus‑independent queries and iteratively increases difficulty, addressing applicability and scalability challenges in RAG benchmarking; experiments on Booksum‑E and MultiHopRAG‑E show significant drops in retrieval and recall metrics for strong baselines.

Event Activities

Poster and demo sessions for each paper (see schedule links).

Alibaba Cloud exhibition booth (C3 Hall 3, booth 21) with live demos of Qwen 3 training acceleration.

Evening networking dinner at the CCF Suzhou headquarters.

Recruitment

Alibaba Cloud AI Platform PAI is hiring for senior and intern positions in inference optimization, large‑scale training, AI product architecture, and related research areas.

large language modelsRetrieval-Augmented Generationknowledge distillationAI PlatformEMNLP 2025
Alibaba Cloud Big Data AI Platform
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Alibaba Cloud Big Data AI Platform

The Alibaba Cloud Big Data AI Platform builds on Alibaba’s leading cloud infrastructure, big‑data and AI engineering capabilities, scenario algorithms, and extensive industry experience to offer enterprises and developers a one‑stop, cloud‑native big‑data and AI capability suite. It boosts AI development efficiency, enables large‑scale AI deployment across industries, and drives business value.

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