Reranking

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 216 papers with code (586 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• MTEB: Massive Text Embedding Benchmark
  13 Oct 2022 5 repositories listed Syntology ran 3 of 13 samples · 10 unverified
  MTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages.
• Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
  1 Jul 2020 5 repositories listed Syntology ran 3 of 12 samples · 9 unverified
  In this paper, we identify that the main bottleneck is in the training mechanisms, where the negative instances used in training are not representative of the irrelevant documents in testing.
• Facebook FAIR's WMT19 News Translation Task Submission
  15 Jul 2019 5 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  This paper describes Facebook FAIR's submission to the WMT19 shared news translation task.
• The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
  14 Jan 2021 4 repositories listed
  We propose a design pattern for tackling text ranking problems, dubbed "Expando-Mono-Duo", that has been empirically validated for a number of ad hoc retrieval tasks in different domains.
• Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
  14 Dec 2023 3 repositories listed
  In this paper, we present an innovative process-oriented math process reward model called \textbf{Math-Shepherd}, which assigns a reward score to each step of math problem solutions.
• RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models
  26 Sep 2023 3 repositories listed
  Researchers have successfully applied large language models (LLMs) such as ChatGPT to reranking in an information retrieval context, but to date, such work has mostly been built on proprietary models hidden behind…
• CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization
  19 Sep 2021 3 repositories listed
  We study generating abstractive summaries that are faithful and factually consistent with the given articles.
• A Temporal Variational Model for Story Generation
  14 Sep 2021 3 repositories listed
  Recent language models can generate interesting and grammatically correct text in story generation but often lack plot development and long-term coherence.
• Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval
  21 Jun 2021 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In particular, based on the pseudo-relevant set of documents identified using a first-pass dense retrieval, we extract representative feedback embeddings (using KMeans clustering) -- while ensuring that these embeddings…
• Faster R-CNN Features for Instance Search
  29 Apr 2016 3 repositories listed
  This work explores the suitability for instance retrieval of image- and region-wise representations pooled from an object detection CNN such as Faster R-CNN.
• Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria Reranking
  14 Mar 2025 2 repositories listed
  In response, we show evaluations of existing RAG methods which account for both context relevance and answer quality.
• Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
  8 Mar 2025 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  In particular, we find that Rank-R1 achieves effectiveness on in-domain datasets at par with that of supervised fine-tuning methods, but utilizing only 18\% of the training data used by the fine-tuning methods.
• Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
  24 Feb 2025 2 repositories listed
  This paper introduces Multi-Modal Retrieval-Augmented Generation (M^2RAG), a benchmark designed to evaluate the effectiveness of Multi-modal Large Language Models (MLLMs) in leveraging knowledge from multi-modal…
• Enhancing High-order Interaction Awareness in LLM-based Recommender Model
  30 Sep 2024 2 repositories listed
  Large language models (LLMs) have demonstrated prominent reasoning capabilities in recommendation tasks by transforming them into text-generation tasks.
• MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
  31 Jul 2024 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in processing and generating content across multiple data modalities.
• Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
  23 Feb 2024 2 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  However, current interactions between IR systems and LLMs remain limited, with LLMs merely serving as part of components within IR systems, and IR systems being constructed independently of LLMs.
• Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
  20 Feb 2024 2 repositories listed Syntology ran 7 of 12 samples · 5 unverified
  Neural Information Retrieval (NIR) has significantly improved upon heuristic-based Information Retrieval (IR) systems.
• Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models
  26 Dec 2023 2 repositories listed
  We present a range of models from 220M parameters to 3B parameters, all with strong reranking results, challenging the necessity of large-scale models for effective zero-shot reranking and opening avenues for more…
• RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!
  5 Dec 2023 2 repositories listed
  In information retrieval, proprietary large language models (LLMs) such as GPT-4 and open-source counterparts such as LLaMA and Vicuna have played a vital role in reranking.
• Functional Overlap Reranking for Neural Code Generation
  16 Oct 2023 2 repositories listed
  We introduce SRank, a novel reranking strategy for selecting the best solutions from code generation, focusing on modeling the relationships between clusters of solutions.
• Global Features are All You Need for Image Retrieval and Reranking
  14 Aug 2023 2 repositories listed Syntology ran 13 of 18 samples · 5 unverified
  Image retrieval systems conventionally use a two-stage paradigm, leveraging global features for initial retrieval and local features for reranking.
• Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
  26 May 2023 2 repositories listed
  We propose EAR, a query Expansion And Reranking approach for improving passage retrieval, with the application to open-domain question answering.
• Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
  25 May 2023 2 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  An alternative approach is to allow interactions between the query and every possible candidate, i.
• Contrastive Learning of Sentence Embeddings from Scratch
  24 May 2023 2 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  Contrastive learning has been the dominant approach to train state-of-the-art sentence embeddings.
• Explaining Patterns in Data with Language Models via Interpretable Autoprompting
  4 Oct 2022 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Large language models (LLMs) have displayed an impressive ability to harness natural language to perform complex tasks.
• Few-shot Reranking for Multi-hop QA via Language Model Prompting
  25 May 2022 2 repositories listed
  To alleviate the need for a large number of labeled question-document pairs for retriever training, we propose PromptRank, which relies on large language models prompting for multi-hop path reranking.
• GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
  20 Dec 2021 2 repositories listed Syntology ran 9 of 15 samples · 6 unverified
  Diffusion models have recently been shown to generate high-quality synthetic images, especially when paired with a guidance technique to trade off diversity for fidelity.
• Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
  5 Jan 2021 2 repositories listed
  Semantic parsing has long been a fundamental problem in natural language processing.
• Deep Multi Query Image Retrieval
  12 Aug 2020 2 repositories listed
  Existing methods are not based on hash codes.
• Cost-effective Interactive Attention Learning with Neural Attention Processes
  9 Jun 2020 2 repositories listed
  Moreover, it is almost infeasible for the human annotators to examine attentions on tons of instances and features.

Syntology lines on 13 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.