OpenMatch / Gist-COCO
This is the code repo for our paper "Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression".
☆11Updated last year
Alternatives and similar repositories for Gist-COCO:
Users that are interested in Gist-COCO are comparing it to the libraries listed below
- This is the code repo for the paper "RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards".☆16Updated 5 months ago
- This is the code repo for our paper "Learning More Effective Representations for Dense Retrieval through Deliberate Thinking Before Searc…☆10Updated 3 weeks ago
- Official repository for "PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning"☆26Updated last week
- [ICLR 2025] This is the code repo for our ICLR’25 paper "RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rew…☆31Updated last month
- The code and data of DPA-RAG☆58Updated 2 months ago
- [ACL 2024] This is the code repo for our ACL‘24 paper "MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module …☆36Updated 9 months ago
- Source code for paper "LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences"☆13Updated this week
- The demo, code and data of FollowRAG☆70Updated 3 months ago
- SPRING: Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models☆17Updated 3 months ago
- The code of arxiv paper: "CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis"☆23Updated 2 months ago
- The official implementation of ACL'24 paper: Synergistic Interplay between Search and Large Language Models for Information Retrieval.☆33Updated 9 months ago
- Enhancing contextual understanding in large language models through contrastive decoding☆17Updated 10 months ago
- Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)☆25Updated last year
- Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs (ACL 2024)☆60Updated 5 months ago
- ☆69Updated last year
- ☆17Updated 3 months ago
- We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆60Updated 5 months ago
- RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment☆16Updated 3 months ago
- Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"☆79Updated last year
- L-CITEEVAL: DO LONG-CONTEXT MODELS TRULY LEVERAGE CONTEXT FOR RESPONDING?☆23Updated 5 months ago
- ☆47Updated last month
- ☆53Updated 5 months ago
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆80Updated last month
- ☆54Updated 2 months ago
- ☆21Updated 2 months ago
- RAG methods, benchmarks, and toolkits☆15Updated 4 months ago
- ☆12Updated last year
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆46Updated 9 months ago
- ☆24Updated last year
- [SIGIR'24] Generative Retrieval as Multi-Vector Dense Retrieval☆31Updated 5 months ago