Julia Hockenmaier
Professor and Willett Faculty Scholar
Studies natural language processing, including grounded language understanding, semantic parsing and vision and language.
Julia Hockenmaier's lab at UIUC works on multilingual, translation & linguistics, multimodal & grounded language and data management & big data. 17 papers since 2023, 4 at top venues, mostly Findings of EMNLP and ACL. 4 PhD students. 12 alumni. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 24%
- PhD students
- 4
- MS students
- 0
- alumni listed
- 12
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 2 · collecting
- 7 papers2025 · T1 2
- 3 papers2024 · T1 0
- 3 papers2023 · T1 0
T1 venuesOtherVenues: Findings of EMNLP, ACL, Findings of ACL, EMNLP, Findings of NAACL
Research focuspaper titles that use each topic's words
- Multimodal & grounded language6 papers
- language5 papers
- Multilingual, translation & linguistics0 papers
- Data management & big data0 papers
- grounded language0 papers
Paper list
From DBLP.
20264 papers
- ACL (T1)Contextual Relevance and Adaptive Sampling for LLM-Based Document Reranking (opens in a new tab)
- ACL (T1)Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics (opens in a new tab)
- Findings of ACLScaling Evaluation-Time Compute with Reasoning Models as Evaluators (opens in a new tab)
- Findings of EACLTackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning (opens in a new tab)
20257 papers
- ACL (T1)Entailment-Preserving First-order Logic Representations in Natural Language Entailment (opens in a new tab)
- Findings of EMNLPEvaluating Step-by-step Reasoning Traces: A Survey (opens in a new tab)
- IJCNLP-AACLHow Reliable are Causal Probing Interventions? (opens in a new tab)
- Findings of EMNLPOn the Versatility of Sparse Autoencoders for In-Context Learning (opens in a new tab)
- Findings of EMNLPRating Roulette: Self-Inconsistency in LLM-As-A-Judge Frameworks (opens in a new tab)
- Findings of NAACLThe Power of Bullet Lists: A Simple Yet Effective Prompting Approach to Enhancing Spatial Reasoning in Large Language Models (opens in a new tab)
- EMNLP (T1)Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models (opens in a new tab)
20243 papers
- LREC/COLINGAnalyzing the Performance of Large Language Models on Code Summarization (opens in a new tab)
- Dagstuhl ReportsHuman in the Loop Learning through Grounded Interaction in Games (Dagstuhl Perspectives Workshop 24492) (opens in a new tab)
- Findings of EMNLPTutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance (opens in a new tab)
20233 papers
- Findings of EMNLPA Framework for Bidirectional Decoding: Case Study in Morphological Inflection (opens in a new tab)
- Findings of ACLMultimedia Generative Script Learning for Task Planning (opens in a new tab)
- Findings of EMNLPSIR-ABSC: Incorporating Syntax into RoBERTa-based Sentiment Analysis Models with a Special Aggregator Token (opens in a new tab)
Where alumni went12 listed
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CNPeking
Junfeng Hu
- Knowledge, QA & retrieval
- CNPeking
Yang Liu
- Knowledge, QA & retrieval
- CNTsinghua
Yi Yang
- Large language models
- USUCLA
Abeer Alwan
- Speech recognition & spoken language
- SGNTU
Anh Tuan Luu
- Large language models
- CNTsinghua
Yongfeng Huang
21 T1
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- DBLP
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
UIUCcloses