Argument Retrieval

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

3 datasets 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

9 shown of 9 papers with code (14 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.

• BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
  17 Apr 2021 3 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  To address this, and to facilitate researchers to broadly evaluate the effectiveness of their models, we introduce Benchmarking-IR (BEIR), a robust and heterogeneous evaluation benchmark for information retrieval.
• Evaluating Fairness in Argument Retrieval
  23 Aug 2021 2 repositories listed
  In this work, we analyze a range of non-stochastic fairness-aware ranking and diversity metrics to evaluate the extent to which argument stances are fairly exposed in argument retrieval systems.
• Overview of PerpectiveArg2024: The First Shared Task on Perspective Argument Retrieval
  29 Jul 2024 1 repository listed
  Argument retrieval is the task of finding relevant arguments for a given query.
• Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR
  10 Jul 2024 1 repository listed
  Our black-box evaluation reveals an inherent bias of neural models towards retrieving short passages from the Touch\'e 2020 data, and we also find that quite a few of the neural models' results are unjudged in the…
• Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking
  19 Oct 2022 1 repository listed
  Pairing a lexical retriever with a neural re-ranking model has set state-of-the-art performance on large-scale information retrieval datasets.
• No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
  6 Jun 2022 1 repository listed
  This has made distilled and dense models, due to latency constraints, the go-to choice for deployment in real-world retrieval applications.
• SGPT: GPT Sentence Embeddings for Semantic Search
  17 Feb 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  To this end, we propose SGPT to use decoders for sentence embeddings and semantic search via prompting or fine-tuning.
• Diversity Aware Relevance Learning for Argument Search
  4 Nov 2020 1 repository listed
  In this work, we focus on the problem of retrieving relevant arguments for a query claim covering diverse aspects.
• Fine-Grained Argument Unit Recognition and Classification
  22 Apr 2019 1 repository listed
  In this work, we argue that the task should be performed on a more fine-grained level of sequence labeling.

Syntology lines on 2 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.