Zhiting Hu
Assistant Professor
Studies principled methods for training AI agents from diverse experiences, including world models and reasoning with language models.
Zhiting Hu's lab at UCSD works on generative & foundation models, reasoning & agents and data management & big data. 13 papers since 2023, 11 at top venues, mostly NeurIPS and ACL. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 85%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 5 papers2024 · T1 3
- 8 papers2023 · T1 8
T1 venuesOtherVenues: NeurIPS, ACL, EMNLP, ICML, NAACL
Research focuspaper titles that use each topic's words
- Generative & foundation models4 papers
- Reasoning & agents2 papers
- Data management & big data0 papers
- principled0 papers
- diverse0 papers
Paper list
From the lab homepage.
20245 papers
- COLMLLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
- COLMLLM360: Towards Fully Transparent Open-Source LLMs
- ACL (T1)MMToM-QA: Multimodal Theory of Mind Question Answering
- NAACL (T1)Redco: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs
- ICML (T1)Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
20238 papers
- ACL (T1)AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
- ACL (T1)BertNet: Harvesting Knowledge Graphs from Pretrained Language Models
- NeurIPS (T1)Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
- EMNLP (T1)Composable Text Controls in Latent Space with ODEs
- NeurIPS (T1)Language Models Meet World Models: Embodied Experiences Enhance Language Models
- EMNLP (T1)Reasoning with Language Model is Planning with World Model
- NeurIPS (T1)Text Alignment Is An Efficient Unified Model for Massive NLP Tasks
- NeurIPS (T1)ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
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- Single round
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- The lab homepage
- Members
- Not collected
- Alumni
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Tiers are venue classifications, not lab rankings.
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