wangskyGit / passage-sieve

Related projects ⓘ

Alternatives and complementary repositories for passage-sieve

• zhichaoxu-shufe / RankMamba
  ☆15Updated 7 months ago
• kyegomez / Reka-Torch
  Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch
  ☆29Updated last week
• sunnweiwei / MAIR
  MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. Evaluate your retrieval models on 126 diverse tasks. [EMNLP 2024]
  ☆13Updated 2 weeks ago
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆30Updated 6 months ago
• nilesh2797 / ELIAS
  Official codebase for NeurIPS 2022 paper End-to-end Learning to Index and Search in Large Output Spaces
  ☆12Updated last year
• csarron / BTR
  ☆15Updated 8 months ago
• ychen-stat-ml / kernel-adapters
  Code for "Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning" (EMNLP 2022) and "Empowering Parameter-Efficient Transfer Learning…
  ☆11Updated last year
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆30Updated 2 years ago
• castorini / LiT5
  ☆15Updated 3 months ago
• yale-nlp / refdpo
  ☆15Updated 3 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆36Updated 8 months ago
• ma787639046 / bowdpr
  Codebase for [Paper] Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval
  ☆14Updated 8 months ago
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆26Updated 11 months ago
• xxxiaol / QRData
  Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
  ☆30Updated 3 months ago
• ielab / PromptReps
  Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
  ☆38Updated 3 weeks ago
• wlzhang2020 / LLMTreeRec
  The implement of LLMTreeRec
  ☆10Updated 2 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆32Updated last month
• orionw / FollowIR
  FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  ☆40Updated 4 months ago
• general-preference / general-preference-model
  Official implementation of paper "General Preference Modeling with Preference Representations for Aligning Language Models" (https://arxi…
  ☆18Updated 3 weeks ago
• ZongqianLi / 500xCompressor
  ☆18Updated 3 months ago
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆19Updated last month
• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆28Updated 5 months ago
• technion-cs-nlp / hallucination-mitigation
  ☆19Updated 3 weeks ago
• princeton-nlp / InstructEval
  [NAACL 2024 Findings] Evaluation suite for the systematic evaluation of instruction selection methods.
  ☆23Updated last year
• UKPLab / acl2024-dapr
  ☆25Updated 5 months ago
• MikeWangWZHL / Zemi
  Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings
  ☆16Updated last year
• wyu97 / RACo
  Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.
  ☆20Updated last year
• googleinterns / localizing-paragraph-memorization
  ☆13Updated 9 months ago
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆30Updated 3 months ago
• qcznlp / uncertainty_attack
  ☆12Updated 2 months ago