Online Language Model Adaptation

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13 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

Cultural Adaptation within Repeated Social Interactions
Nov 5, 2026Chen Cecilia Liu, Roi Reichart, Anna KorhonenOnline Language Model Adaptation Normative Conformity in Language Models
Language Technology Lab - University of Cambridge · Technion - Israel Institute of Technology
CaLLM: Continual Adaptation of LLMs via Non-Parametric Adapter Routing
Oct 27, 2026Bilge Celik, Anna Vettoruzzo, Joaquin VanschorenContinual Learning for LLMs Adapter-Based Continual Learning
Eindhoven University of Technology
SHIFT-JEV: Certified Abstention and Gain-Gated Continual Adaptation for LLM-Based Decision Models under Distribution Shift
Oct 25, 2026Muhammad Atif Saeed, Azka Atiq, Adarsh Kumar +3Online Language Model Adaptation Selective Prediction
Department of AI & Data Science, National University of Computer & Emerging Sciences, Islamabad, Pakistan · Data Engineer, University of Arkansas at Little Rock, Arkansas, USA · Department of Computer Science, National University of Computer & Emerging Sciences, Islamabad, Pakistan +2
RAOA: Alternating-Operator Neural Computation with Programmable Radio Propagation
Oct 2, 2026Toshiaki Koike-AkinoOnline Language Model Adaptation Recurrent Neural Networks
Mitsubishi Electric Research Laboratories (MERL), 201 Broadway, Cambridge, MA 02139, USA
Compiling Learning Problems into Adaptation Programs for Language Models
Sep 29, 2026Rebecca Ramnauth, Brian ScassellatiMeta-Learning LLM Fine-Tuning
Department of Computer Science Yale University New Haven, CT 06511, USA
Do Cantonese-Adapted Language Models Better Predict Cantonese Reading? A Cross-Model Eye-Tracking Evaluation
Sep 2, 2026Ziqi Zhang, Emmanuele Chersoni, Mohammad MomenianOnline Language Model Adaptation Language Modeling
Department of Language Science and Technology, The Hong Kong Polytechnic University · Department of Linguistics, The University of Hong Kong
PARALLEL: A Prefrontal-Aligned Reinforcement inspired Approach for Language-Model Learning under Explicit Limits
Jul 31, 2026Namkyung Yoon, Sanghong Kim, Hwangnam KimContinual Learning for LLMs LLM Fine-Tuning
School of Electrical Engineering, Korea University Seoul 02841, Republic of Korea
Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias
Jul 24, 2026Ofek I. Cohen, Lior Shani, Aviv Rosenberg +3Black-Box Optimization Domain Adaptation for LLMs
Tel Aviv University · Google Research · Columbia University
Scaling Self-Evolving Agents via Parametric Memory
Jun 3, 2026Tao Ren, Weiyao Luo, Hui Yang +8Online Language Model Adaptation RL for LLM Agents
Qwen-Character Team · Alibaba Group · Peking University
EvoSpec: Evolving Speculative Decoding via Real-Time Vocabulary and Parameter Adaptation
Apr 17, 2026Shuyu Zhang, Lingfeng Pan, Qicheng Wang +6Speculative Decoding LLM Inference Acceleration
School of Computer Science and Technology Xidian University Xi’an, China
From Weights to Activations: Is Steering the Next Frontier of Adaptation?
Apr 15, 2026Simon Ostermann, Daniil Gurgurov, Tanja Baeumel +4Online Language Model Adaptation Language Model Steering
Saarland University · German Research Center for Artificial Intelligence (DFKI) · Centre for European Research in Trusted AI (CERTAIN) +6
Autolearn: Learn by Surprise, Commit by Proof
Apr 2, 2026Kang-Sin ChoiOnline Language Model Adaptation Knowledge Augmentation for Language Models
Ewha Womans University
Position: Agentic Evolution is the Path to Evolving LLMs
Jan 30, 2026Minhua Lin, Hanqing Lu, Zhan Shi +12Online Language Model Adaptation Language Model Self-Improvement
The Pennsylvania State Univerity · Amazon · Duke University

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Cultural Adaptation within Repeated Social Interactions

Chen Cecilia Liu, Roi Reichart, Anna Korhonen

Language Technology Lab - University of Cambridge · Technion - Israel Institute of Technology

Online Language Model Adaptation Normative Conformity in Language Models Continual Learning for LLMs

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Much of human culture is tacit and is typically learned through situated social interaction. As LLMs are deployed as interactive agents across diverse communities, assessing their cultural competence demands moving beyond existing question-answering approaches, shifting from what they know to how they adapt. In this work, we broaden the scope of cultural adaptation in NLP by investigating whether LLMs can adapt through repeated interactions via a sandbox environment. By reframing cultural adaptation as a continuous process of norm assimilation through social interaction, our work demonstrates that memory mechanisms foster longitudinal learning across repeated interactions, facilitate transfer to different social settings, and enable multilingual norm assimilation across five languages. Together, our findings lay the groundwork for continuous, interaction-driven cultural adaptation in LLMs.