works on

From the 1 of 9 linked papers with an AI index.

collaborators

9 papers

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.RO2026

GIVE: Grounding Human Gestures in Vision-Language-Action Models

Pengfei Liu, Gen Li, Junqiao Fan +4

Human communication is inherently multimodal, where language is often accompanied by non-verbal cues such as gestures to convey intentions. However, current Vision-Language-Action…

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…

cs.AI2026

AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts

Keyu Li, Junhao Shi, Yang Xiao +11

Large Language Models (LLMs) based autonomous agents demonstrate multifaceted capabilities to contribute substantially to economic production. However, existing benchmarks remain f…

cs.CL2026

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs

Jie Sun, Yu Liu, Lu Han +9

While transformer-based Large Language Models (LLMs) theoretically support massive context windows, they suffer from severe performance degradation when processing long numerical s…

cs.SE2026

LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces

Yukang Feng, Jianwen Sun, Zelai Yang +16

Recent advances in AI-assisted programming have empowered agents to execute complex workflows via command-line interfaces, however, existing benchmarks are limited by short task ho…