Giwon Hong

According to our database1, Giwon Hong authored at least 19 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2025
GRADA: Graph-based Reranker against Adversarial Documents Attack.
CoRR, May, 2025

Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Are We Done with MMLU?
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Theorem Prover as a Judge for Synthetic Data Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Mixtures of In-Context Learners.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Analysing the Residual Stream of Language Models Under Knowledge Conflicts.
CoRR, 2024

The Hallucinations Leaderboard - An Open Effort to Measure Hallucinations in Large Language Models.
CoRR, 2024

Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023
Discern and Answer: Mitigating the Impact of Misinformation in Retrieval-Augmented Models with Discriminators.
CoRR, 2023

FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Graph-Induced Transformers for Efficient Multi-Hop Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
UHD-BERT: Bucketed Ultra-High Dimensional Sparse Representations for Full Ranking.
CoRR, 2021

Have You Seen That Number? Investigating Extrapolation in Question Answering Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Regularization of Distinct Strategies for Unsupervised Question Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Handling Anomalies of Synthetic Questions in Unsupervised Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding.
Proceedings of the 13th International Conference on Computational Semantics, 2019


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