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From the 1 of 29 linked papers with an AI index.

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20242026
most citedA Survey of Query Optimization in Large Language Models

3 citations · 3 across the 21 of their papers we have counts for

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cs.CL2026

EasyOPD: An Easy-to-use On-Policy Distillation Framework for Large Language Models

Jie Sun, Mao Zheng, Mingyang Song +7

The paper introduces EasyOPD, a modular framework that simplifies on-policy distillation for large language models by separating configuration, supervision logic, and distributed e…

cs.CL2026

Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents

Tianxiang Fei, Mingyang Song, Mao Zheng +1

Long-term memory for an LLM agent is more than retrieving the right passage at the right time. Current memory systems collapse belief revision, causal coupling, and cross-domain ab…

cs.CL2026

HardMTBench: Stress-Testing Chinese-English Translation on Knowledge-Intensive Domains

Zheng Li, Mao Zheng, Mingyang Song +1

General-purpose machine translation benchmarks such as FLORES-200 have reached a saturation regime on Chinese-English pairs, where modern large language models cluster within a nar…

cs.CL2026

IFMTBench: A Comprehensive Benchmark for Multilingual Translation Instruction Following

Mingrui Sun, Mao Zheng, Zheng Li +1

Modern translation workflows demand more than semantic equivalence. Users routinely require models to preserve JSON or HTML schemas, honor curated glossaries, disambiguate with pro…

cs.CL2026

Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild

Mao Zheng, Zheng Li, Tao Chen +10

Hy-MT2 is a family of fast-thinking multilingual translation models designed for complex real-world scenarios. It includes three model sizes: 1.8B, 7B, and 30B-A3B (MoE), all of wh…

cs.CL2026

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation

Jie Sun, Mao Zheng, Mingyang Song +6

On-policy distillation (OPD) is a standard tool for transferring teacher behavior to a smaller student, but it implicitly assumes that teacher and student predictions are comparabl…