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Found 12 papers, 5 papers with code
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
Large Language Models (LLMs) have shown impressive capabilities but still suffer from the issue of hallucinations.
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning
Large language models exhibit high-level commonsense reasoning abilities, especially with enhancement methods like Chain-of-Thought (CoT).
Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning
Document-level Relation Extraction (DRE) aims to recognize the relations between two entities.
Ranked #5 on
Relation Extraction
on CDR
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction
We propose a novel Sequence-to-Unordered-Multi-Tree (Seq2UMTree) model to minimize the effects of exposure bias by limiting the decoding length to three within a triplet and removing the order among triplets.
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
The model is extremely weak at differing the head and tail entity, resulting in inaccurate entity extraction.
Ranked #12 on
Relation Extraction
on WebNLG
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning
Existing works didn{'}t consider the extraction order of relational facts in a sentence.
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism
The relational facts in sentences are often complicated.
Ranked #12 on
Relation Extraction
on NYT11-HRL
