1 citations · 3 across the 10 of their papers we have counts for
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WRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing Agents
Hengrui Gu, Xiaotian Han, Kaixiong Zhou
Multi-turn user-facing agents must infer user intent from incomplete requests, collect missing information through dialogue and tools, and execute valid actions. A training traject…
Asymmetric Advantage Modulation Calibrates Entropy Dynamics in RLVR
Hengrui Gu, Xiaotian Han, Yujing Bian +2
Reinforcement learning with verifiable rewards (RLVR) has substantially improved the reasoning ability of large language models (LLMs), but it often suffers from \textit{restricted…
Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion
Hengrui Gu, Kaixiong Zhou, Yili Wang +2
During pre-training, the Text-to-Image (T2I) diffusion models encode factual knowledge into their parameters. These parameterized facts enable realistic image generation, but they…
Cross-Lingual Multi-Hop Knowledge Editing
Aditi Khandelwal, Harman Singh, Hengrui Gu +2
Large language models are often expected to constantly adapt to new sources of knowledge and knowledge editing techniques aim to efficiently patch the outdated model knowledge, wit…
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering
Hengrui Gu, Kaixiong Zhou, Xiaotian Han +3
Multi-hop question answering (MQA) is one of the challenging tasks to evaluate machine's comprehension and reasoning abilities, where large language models (LLMs) have widely achie…