Language understanding & translation
How can we recover meaning across languages and forms of expression? We explore information extraction, machine translation, in-image translation and translation evaluation.
RATE · PRIMBEIJING INSTITUTE OF TECHNOLOGY
HLT 语言技术研究组
Institute of Language Intelligence and Social Computing · School of Computer Science and Technology · Beijing Institute of Technology
Understanding language.
Connecting context and action.
We study how language connects perception and action: from machine translation and multimodal interaction to agents that understand tasks, learn from experience and use tools reliably.
RESEARCH DIRECTIONS
Starting with language, grounded in real-world understanding and interaction.
How can we recover meaning across languages and forms of expression? We explore information extraction, machine translation, in-image translation and translation evaluation.
RATE · PRIMHow can vision, audio and context turn task understanding into action? We study smart-home interaction, embodied planning, GUI agents and agent memory.
PEAP · HomeBench · LifeMemCan models follow requirements, recognize risks and use tools safely? We study reliability from generated outputs to execution through capability improvement and evaluation.
ReFF · SafeToolBenchSELECTED WORK & OPEN SOURCE
Extracting, organizing and retrieving skills from task trajectories so agents can reuse experience across environments.
Evaluating non-literal translation through a human-annotated benchmark and an agentic framework for reflection, retrieval and comparison.
Jointly understanding visual and audio context for proactive embodied action-sequence planning.
Interpreting progressively elliptical instructions in smart-home interactions using conversational context.
Benchmarking visually grounded exploration of household devices and generalization to new devices and contexts.
Evaluating GUI agents on the continuously changing interfaces of short-video platforms.
Exploring practical multilingual translation within images, connecting textual meaning with visual presentation.
Evaluating smart-home instruction understanding across single and multiple devices, including valid and invalid instructions.
Evaluating the safety of tool use by large language models through a dedicated benchmark.
Reinforcing output-format faithfulness across tasks to make language-model outputs more reliable for downstream applications.
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Find more publications on the full publication list and ACL Anthology.
TEACHING
Build understanding from core ideas and interactive examples.
DATA STRUCTURES
Course information, chapter summaries and interactive materials released after class.
PEOPLE & COLLABORATION
Institute of Language Intelligence and Social Computing · School of Computer Science and Technology · Beijing Institute of Technology
We welcome discussions on language intelligence, multimodal interaction and reliable agents.