Alan Ritter
Associate Professor
Studies natural language processing and information extraction with minimal supervision, including from social media.
Alan Ritter's lab at Georgia Tech works on language & society, knowledge, QA & retrieval and computational social science. 45 papers since 2023, 36 at top venues, mostly ACL and EMNLP. 10 PhD students. 8 alumni. Applications close .
At a glance
- papers, 2023–2026
- 12/ year
- at T1 venues
- 80%
- PhD students
- 10
- MS students
- 0
- alumni listed
- 8
Papers by yearfrom the lab homepage, 2023–2026
- 16 papers2026 · T1 12 · collecting
- 12 papers2025 · T1 12
- 12 papers2024 · T1 8
- 5 papers2023 · T1 4
T1 venuesOtherVenues: ACL, EMNLP, ICLR, NeurIPS, Findings of EMNLP
Research focuspaper titles that use each topic's words
- Language & society13 papers
- Knowledge, QA & retrieval4 papers
- information extraction2 papers
- Computational social science0 papers
- supervision0 papers
Paper list
From the lab homepage.
202616 papers
- EACLAuditing Language Model Unlearning via Information Decomposition
- EMNLP (T1)Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages
- Findings of EMNLPCoCoA: Context-Conditional Cultural Alignment for Large Language Models
- ICLR (T1)Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?
- ACL (T1)GeoRC: A Benchmark for Geolocation Reasoning Chains
- EMNLP (T1)Investigating and Alleviating Harm Amplification in LLM Interactions
- Findings of EMNLPLaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training
- ICML (T1)Learning to Route Languages for Multilingual Preference Optimization
- ICML (T1)Making Expert Reasoning Learnable with Self-Distillation
- ICML (T1)Safe and Scalable Web Agent Learning via Recreated Websites
- COLMSemantic Differentiation for Tackling Challenges in Watermarking Low-Entropy Constrained Generation Outputs
- NeurIPS (T1)Soft Token Alignment for Cross-Lingual Reasoning
202512 papers
- ACL (T1)Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning
- ACL (T1)Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs
- EMNLP (T1)CARE: Assessing the Impact of Multilingual Human Preference Learning on Cultural Awareness
- AAAI (T1)CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark
- EMNLP (T1)How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
- NeurIPS (T1)Language Models can Self-Improve at State-Value Estimation for Better Search
- CSCW (T1)Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI
- NeurIPS (T1)Probabilistic Reasoning with LLMs for Privacy Risk Estimation
- ICLR (T1)Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
- ACL (T1)Translation and Fusion Improves Cross-lingual Information Extraction
- EMNLP (T1)USimBench: Are User Simulators Reliable Proxies for Multi-Turn Evaluation of AI Assistants?
- EMNLP (T1)What are Foundation Models Cooking in the Post-Soviet World?
202412 papers
- COLMAre Language Models Robust Coreference Resolvers?
- EMNLP WorkshopChatHF: Collecting Rich Human Feedback from Real-time Conversations
- ICLR (T1)Constrained Decoding for Cross-lingual Label Projection
- EMNLP (T1)Granular Privacy Control for Geolocation with Vision Language Models
- ACL (T1)Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
- ACL (T1)Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding
- ACL (T1)NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms
- ACL (T1)Reducing Privacy Risks in Online Self-Disclosures with Language Models
- Findings of EMNLPSchema-Driven Information Extraction from Heterogeneous Tables
- Findings of ACLSelf-Specialization: Uncovering Latent Expertise within Large Language Models
- ICLR (T1)Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
- ECCV (T1)UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
20235 papers
- EMNLP (T1)Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
- ACL (T1)Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
- ACL (T1)Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?
- Findings of ACLFrustratingly Easy Label Projection for Cross-lingual Transfer
- ACL (T1)Improved Instruction Ordering in Recipe-Grounded Conversation
Where alumni went8 listed
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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