Saved in:
| Main Authors: | Tao, Chongyang, Liu, Chang, Shen, Tao, Xu, Can, Geng, Xiubo, Jiao, Binxing, Jiang, Daxin |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2212.10192 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
WizardLM: Empowering large pre-trained language models to follow complex instructions
by: Xu, Can, et al.
Published: (2023)
by: Xu, Can, et al.
Published: (2023)
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
by: Luo, Ziyang, et al.
Published: (2023)
by: Luo, Ziyang, et al.
Published: (2023)
A Survey on Knowledge Distillation of Large Language Models
by: Xu, Xiaohan, et al.
Published: (2024)
by: Xu, Xiaohan, et al.
Published: (2024)
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
by: Zhang, Yeqin, et al.
Published: (2025)
by: Zhang, Yeqin, et al.
Published: (2025)
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
by: Luo, Haipeng, et al.
Published: (2023)
by: Luo, Haipeng, et al.
Published: (2023)
Text Embeddings by Weakly-Supervised Contrastive Pre-training
by: Wang, Liang, et al.
Published: (2022)
by: Wang, Liang, et al.
Published: (2022)
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
by: Zhang, Shunyu, et al.
Published: (2023)
by: Zhang, Shunyu, et al.
Published: (2023)
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification
by: Li, Yang, et al.
Published: (2022)
by: Li, Yang, et al.
Published: (2022)
Re-Reading Improves Reasoning in Large Language Models
by: Xu, Xiaohan, et al.
Published: (2023)
by: Xu, Xiaohan, et al.
Published: (2023)
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges
by: Li, Zhen, et al.
Published: (2024)
by: Li, Zhen, et al.
Published: (2024)
PairDistill: Pairwise Relevance Distillation for Dense Retrieval
by: Huang, Chao-Wei, et al.
Published: (2024)
by: Huang, Chao-Wei, et al.
Published: (2024)
Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation
by: Yang, Eugene, et al.
Published: (2024)
by: Yang, Eugene, et al.
Published: (2024)
LLMs are Also Effective Embedding Models: An In-depth Overview
by: Tao, Chongyang, et al.
Published: (2024)
by: Tao, Chongyang, et al.
Published: (2024)
Meta-Task Prompting Elicits Embeddings from Large Language Models
by: Lei, Yibin, et al.
Published: (2024)
by: Lei, Yibin, et al.
Published: (2024)
Playing 20 Question Game with Policy-Based Reinforcement Learning
by: Hu, Huang, et al.
Published: (2018)
by: Hu, Huang, et al.
Published: (2018)
Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models
by: Shi, Boyu, et al.
Published: (2026)
by: Shi, Boyu, et al.
Published: (2026)
Retrieval-Augmented Linguistic Calibration
by: Yeh, Yi-Fan, et al.
Published: (2026)
by: Yeh, Yi-Fan, et al.
Published: (2026)
Index Light, Reason Deep: Deferred Visual Ingestion for Visual-Dense Document Question Answering
by: Xu, Tao
Published: (2026)
by: Xu, Tao
Published: (2026)
Revisiting Knowledge Distillation for Autoregressive Language Models
by: Zhong, Qihuang, et al.
Published: (2024)
by: Zhong, Qihuang, et al.
Published: (2024)
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval
by: Tan, Hongming, et al.
Published: (2024)
by: Tan, Hongming, et al.
Published: (2024)
AIR: Post-training Data Selection for Reasoning via Attention Head Influence
by: Liu, Jinrui, et al.
Published: (2025)
by: Liu, Jinrui, et al.
Published: (2025)
Cognitive-Level Adaptive Generation via Capability-Aware Retrieval and Style Adaptation
by: Wang, Qingsong, et al.
Published: (2025)
by: Wang, Qingsong, et al.
Published: (2025)
Dense Passage Retrieval: Is it Retrieving?
by: Reichman, Benjamin, et al.
Published: (2024)
by: Reichman, Benjamin, et al.
Published: (2024)
Scaling Laws For Dense Retrieval
by: Fang, Yan, et al.
Published: (2024)
by: Fang, Yan, et al.
Published: (2024)
Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems
by: Hua, Kai, et al.
Published: (2025)
by: Hua, Kai, et al.
Published: (2025)
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples
by: Xu, Xiancai, et al.
Published: (2023)
by: Xu, Xiancai, et al.
Published: (2023)
OVD: On-policy Verbal Distillation
by: Xiong, Jing, et al.
Published: (2026)
by: Xiong, Jing, et al.
Published: (2026)
Guided Navigation in Knowledge-Dense Environments: Structured Semantic Exploration with Guidance Graphs
by: Tao, Dehao, et al.
Published: (2025)
by: Tao, Dehao, et al.
Published: (2025)
EvolSQL: Structure-Aware Evolution for Scalable Text-to-SQL Data Synthesis
by: Pan, Xuanguang, et al.
Published: (2026)
by: Pan, Xuanguang, et al.
Published: (2026)
Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource
by: Li, Houyi, et al.
Published: (2025)
by: Li, Houyi, et al.
Published: (2025)
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking
by: Li, Yinghui, et al.
Published: (2023)
by: Li, Yinghui, et al.
Published: (2023)
From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models
by: Wang, Yidan, et al.
Published: (2025)
by: Wang, Yidan, et al.
Published: (2025)
Improve Dense Passage Retrieval with Entailment Tuning
by: Dai, Lu, et al.
Published: (2024)
by: Dai, Lu, et al.
Published: (2024)
Self and Cross-Model Distillation for LLMs: Effective Methods for Refusal Pattern Alignment
by: Li, Jie, et al.
Published: (2024)
by: Li, Jie, et al.
Published: (2024)
Boolean-aware Attention for Dense Retrieval
by: Mai, Quan, et al.
Published: (2025)
by: Mai, Quan, et al.
Published: (2025)
Cohort Retrieval using Dense Passage Retrieval
by: Jadhav, Pranav
Published: (2025)
by: Jadhav, Pranav
Published: (2025)
RARe: Retrieval Augmented Retrieval with In-Context Examples
by: Tejaswi, Atula, et al.
Published: (2024)
by: Tejaswi, Atula, et al.
Published: (2024)
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
by: Lin, Peiqin, et al.
Published: (2024)
by: Lin, Peiqin, et al.
Published: (2024)
PROST-LLM: Progressively Enhancing the Speech-to-Speech Translation Capability in LLMs
by: Xu, Jing, et al.
Published: (2026)
by: Xu, Jing, et al.
Published: (2026)
All-Mem: Agentic Lifelong Memory via Dynamic Topology Evolution
by: Lv, Can, et al.
Published: (2026)
by: Lv, Can, et al.
Published: (2026)
Similar Items
-
WizardLM: Empowering large pre-trained language models to follow complex instructions
by: Xu, Can, et al.
Published: (2023) -
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
by: Luo, Ziyang, et al.
Published: (2023) -
A Survey on Knowledge Distillation of Large Language Models
by: Xu, Xiaohan, et al.
Published: (2024) -
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
by: Zhang, Yeqin, et al.
Published: (2025) -
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
by: Luo, Haipeng, et al.
Published: (2023)