Cover Image

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Tong, Fang, Hao, Xia, Patrick, Liu, Xiaodong, Van Durme, Benjamin, Zettlemoyer, Luke, Gao, Jianfeng, Cheng, Hao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks
by: Lyu, Yuanjie, et al.
Published: (2025)

StreamAdapter: Efficient Test Time Adaptation from Contextual Streams
by: Muhtar, Dilxat, et al.
Published: (2024)

Natural Language Decomposition and Interpretation of Complex Utterances
by: Jhamtani, Harsh, et al.
Published: (2023)

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks
by: Yu, Xiaodong, et al.
Published: (2023)

LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks
by: Fleshman, William, et al.
Published: (2025)

Compressed Chain of Thought: Efficient Reasoning Through Dense Representations
by: Cheng, Jeffrey, et al.
Published: (2024)

Multi-Field Adaptive Retrieval
by: Li, Millicent, et al.
Published: (2024)

RE-Adapt: Reverse Engineered Adaptation of Large Language Models
by: Fleshman, William, et al.
Published: (2024)

AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees
by: Fleshman, William, et al.
Published: (2024)

Fine-Tuning Language Models with Just Forward Passes
by: Malladi, Sadhika, et al.
Published: (2023)

Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements
by: Govindarajan, Venkata Subrahmanyan, et al.
Published: (2019)

Language Models and Logic Programs for Trustworthy Tax Reasoning
by: Jurayj, William, et al.
Published: (2025)

Training Large Reasoning Models Efficiently via Progressive Thought Encoding
by: Zhang, Zeliang, et al.
Published: (2026)

Interpreting User Requests in the Context of Natural Language Standing Instructions
by: Moghe, Nikita, et al.
Published: (2023)

Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering
by: Jurayj, William, et al.
Published: (2025)

Micro Language Models Enable Instant Responses
by: Cheng, Wen, et al.
Published: (2026)

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
by: Wang, Boshi, et al.
Published: (2024)

DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation
by: Wanner, Miriam, et al.
Published: (2024)

Language Models as Inductive Reasoners
by: Yang, Zonglin, et al.
Published: (2022)

Dated Data: Tracing Knowledge Cutoffs in Large Language Models
by: Cheng, Jeffrey, et al.
Published: (2024)

Compactor: Calibrated Query-Agnostic KV Cache Compression with Approximate Leverage Scores
by: Chari, Vivek, et al.
Published: (2025)

Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
by: Zhang, Zeliang, et al.
Published: (2024)

Comparing Hallucination Detection Metrics for Multilingual Generation
by: Kang, Haoqiang, et al.
Published: (2024)

Learning to Retrieve Iteratively for In-Context Learning
by: Chen, Yunmo, et al.
Published: (2024)

SEQR: Secure and Efficient QR-based LoRA Routing
by: Fleshman, William, et al.
Published: (2025)

SpectR: Dynamically Composing LM Experts with Spectral Routing
by: Fleshman, William, et al.
Published: (2025)

Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data
by: Zhang, Jingyu, et al.
Published: (2024)

Bolmo: Byteifying the Next Generation of Language Models
by: Minixhofer, Benjamin, et al.
Published: (2025)

Are Finer Citations Always Better? Rethinking Granularity for Attributed Generation
by: Wang, Hexuan, et al.
Published: (2026)

Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
by: Chen, Yuyan, et al.
Published: (2024)

CLIP-Adapter: Better Vision-Language Models with Feature Adapters
by: Gao, Peng, et al.
Published: (2021)

LLMs Provide Unstable Answers to Legal Questions
by: Blair-Stanek, Andrew, et al.
Published: (2025)

RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation
by: Fleshman, William, et al.
Published: (2024)

BLT: Can Large Language Models Handle Basic Legal Text?
by: Blair-Stanek, Andrew, et al.
Published: (2023)

Dodo: Dynamic Contextual Compression for Decoder-only LMs
by: Qin, Guanghui, et al.
Published: (2023)

SocialNLI: A Dialogue-Centric Social Inference Dataset
by: Deo, Akhil, et al.
Published: (2025)

NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning
by: Weir, Nathaniel, et al.
Published: (2022)

Demystifying Prompts in Language Models via Perplexity Estimation
by: Gonen, Hila, et al.
Published: (2022)

Synthetic Function Demonstrations Improve Generation in Low-Resource Programming Languages
by: McKenna, Nick, et al.
Published: (2025)

CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
by: Chen, Tong, et al.
Published: (2024)