---
title: "Who cites Language Models Can Improve — 24 citing papers"
description: "24 papers of the Elamur Research library cite «Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning», found in…"
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---
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# Who cites «Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning»

24 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning»](https://md.research.elamur.ai/free/en/papers/shi-2023-language-models-improve-event-prediction/)

1. [**How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark**Minglai Yang, Ethan Huang, Liang Zhang, et al.*2025 · 25 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-llm-reasoning-distracted-irrelevant-context/)
2. **[Clutch or Cry at SemEval-2026 Task 12: Offline Retrieval-Augmented Generation with Frozen DeBERTa for Abductive Event Reasoning](https://md.research.elamur.ai/free/en/papers/prasad-2026-clutch-or-cry-semeval-2026/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Aayush Prasad, Rudra Trivedi, Arshad Khatib, et al.*2026 · 1 citation*
3. **[From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph Reasoning](https://md.research.elamur.ai/free/en/papers/tang-2026-implicit-graph-encoding-explicit-evidence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guo Tang, Ke Cheng, Huiming Fan, et al.*2026*

21 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/shi-2023-language-models-improve-event-prediction/) — Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning