:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shi, Ruizhe, Chen, Yifang, Hu, Yushi, Liu, Alisa, Hajishirzi, Hannaneh, Smith, Noah A., Du, Simon S.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2406.18853
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
by: Morrison, Jacob, et al.
Published: (2024)

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
by: Min, Sewon, et al.
Published: (2023)

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
by: Zhao, Bowen, et al.
Published: (2024)

Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training
by: Merrill, William, et al.
Published: (2025)

Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
by: Heineman, David, et al.
Published: (2025)

EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
by: Zeng, Zhiyuan, et al.
Published: (2025)

Sampling from Your Language Model One Byte at a Time
by: Hayase, Jonathan, et al.
Published: (2025)

Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
by: Kim, Joongwon, et al.
Published: (2024)

Set the Clock: Temporal Alignment of Pretrained Language Models
by: Zhao, Bowen, et al.
Published: (2024)

Fluid Language Model Benchmarking
by: Hofmann, Valentin, et al.
Published: (2025)

Sample, Don't Search: Rethinking Test-Time Alignment for Language Models
by: Faria, Gonçalo, et al.
Published: (2025)

RewardBench: Evaluating Reward Models for Language Modeling
by: Lambert, Nathan, et al.
Published: (2024)

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
by: Shi, Ruizhe, et al.
Published: (2023)

ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
by: Chen, Tong, et al.
Published: (2025)

Learning to Detect Language Model Training Data via Active Reconstruction
by: Yin, Junjie Oscar, et al.
Published: (2026)

Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
by: Chen, Tong, et al.
Published: (2025)

Meta-Reinforcement Learning with Self-Reflection for Agentic Search
by: Xiao, Teng, et al.
Published: (2026)

Reliable, Adaptable, and Attributable Language Models with Retrieval
by: Asai, Akari, et al.
Published: (2024)

SuperBPE: Space Travel for Language Models
by: Liu, Alisa, et al.
Published: (2025)

The Crucial Role of Samplers in Online Direct Preference Optimization
by: Shi, Ruizhe, et al.
Published: (2024)

Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding
by: Liu, Jiacheng, et al.
Published: (2023)

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

Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning
by: Wang, Yiping, et al.
Published: (2024)

Rethinking Transformers in Solving POMDPs
by: Lu, Chenhao, et al.
Published: (2024)

Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?
by: Hayase, Jonathan, et al.
Published: (2024)

Discovering Implicit Large Language Model Alignment Objectives
by: Chen, Edward, et al.
Published: (2026)

Paloma: A Benchmark for Evaluating Language Model Fit
by: Magnusson, Ian, et al.
Published: (2023)

ComPO: Community Preferences for Language Model Personalization
by: Kumar, Sachin, et al.
Published: (2024)

RL Grokking Recipe: How Does RL Unlock and Transfer New Algorithms in LLMs?
by: Sun, Yiyou, et al.
Published: (2025)

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters
by: Wang, Yiping, et al.
Published: (2025)

Time and Memory Trade-off of KV-Cache Compression in Tensor Transformer Decoding
by: Chen, Yifang, et al.
Published: (2025)

Learnable Privacy Neurons Localization in Language Models
by: Chen, Ruizhe, et al.
Published: (2024)

Race, Ethnicity and Their Implication on Bias in Large Language Models
by: Hu, Shiyue, et al.
Published: (2026)

LLAMAPIE: Proactive In-Ear Conversation Assistants
by: Chen, Tuochao, et al.
Published: (2025)

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
by: Zeng, Zhiyuan, et al.
Published: (2025)

Merge and Guide: Unifying Model Merging and Guided Decoding for Controllable Multi-Objective Generation
by: Xie, Guofu, et al.
Published: (2025)

Multi-Objective Alignment of Language Models for Personalized Psychotherapy
by: Beikzadeh, Mehrab, et al.
Published: (2026)

Pareto Multi-Objective Alignment for Language Models
by: He, Qiang, et al.
Published: (2025)

Robust Multi-Objective Controlled Decoding of Large Language Models
by: Son, Seongho, et al.
Published: (2025)

Olmix: A Framework for Data Mixing Throughout LM Development
by: Chen, Mayee F., et al.
Published: (2026)