NLPExplorer

Chitta Baral

Number of Papers:- 64

Number of Citations:- 27

First ACL Paper:- 2004

Latest ACL Paper:- 2024

Venues:-

NAACL

SpaNLP

spnlp

EMNLP

Findings

IWCS

ACL

EACL

RepL4NLP

EVENTS

IJCNLP

*SEM

Co-Authors:-

Similar Authors:-

EDM3: Event Detection as Multi-task Text Generation *SEM

Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with ‘LITE’ F i n d i n g s - N A A C L

Neeraj Varshney | Agneet Chatterjee | Mihir Parmar | Chitta Baral |

InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis NAACL

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts NAACL

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models ACL

The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness F i n d i n g s - A C L

Neeraj Varshney | Pavel Dolin | Agastya Seth | Chitta Baral |

Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies F i n d i n g s - A C L

Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? EMNLP

Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models EMNLP

How Many Data Samples is an Additional Instruction Worth? F i n d i n g s - E A C L

Ravsehaj Singh Puri | Swaroop Mishra | Mihir Parmar | Chitta Baral |

Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow EACL

Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions EACL

Mihir Parmar | Swaroop Mishra | Mor Geva | Chitta Baral |

“John is 50 years old, can his son be 65?” Evaluating NLP Models’ Understanding of Feasibility EACL

LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference F i n d i n g s - E M N L P

A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution F i n d i n g s - A C L

Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA ACL

Neeraj Varshney | Chitta Baral |

InstructExcel: A Benchmark for Natural Language Instruction in Excel F i n d i n g s - E M N L P

End-to-end Knowledge Retrieval with Multi-modal Queries ACL

A Study on the Efficiency and Generalization of Light Hybrid Retrievers ACL

Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL Findings

Neeraj Varshney | Swaroop Mishra | Chitta Baral |

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering ACL SpaNLP

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks ACL

To Find Waldo You Need Contextual Cues: Debiasing Who’s Waldo ACL

Unsupervised Natural Language Inference Using PHL Triplet Generation ACL Findings

Neeraj Varshney | Pratyay Banerjee | Tejas Gokhale | Chitta Baral |

Towards Improving Selective Prediction Ability of NLP Systems ACL RepL4NLP

Neeraj Varshney | Swaroop Mishra | Chitta Baral |

Reframing Instructional Prompts to GPTk’s Language ACL Findings

Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness ACL Findings

ILDAE: Instance-Level Difficulty Analysis of Evaluation Data ACL

Neeraj Varshney | Swaroop Mishra | Chitta Baral |

Cross-Task Generalization via Natural Language Crowdsourcing Instructions ACL

Swaroop Mishra | Daniel Khashabi | Chitta Baral | Hannaneh Hajishirzi |

Semantically Distributed Robust Optimization for Vision-and-Language Inference ACL Findings

A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context NAACL

Man Luo | Shuguang Chen | Chitta Baral |

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning Findings NAACL

Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems EMNLP

Neeraj Varshney | Chitta Baral |

Less is More: Summary of Long Instructions is Better for Program Synthesis EMNLP

Kirby Kuznia | Swaroop Mishra | Mihir Parmar | Chitta Baral |

Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task F i n d i n g s - E M N L P

Shailaja Keyur Sampat | Pratyay Banerjee | Yezhou Yang | Chitta Baral |

LILA: A Unified Benchmark for Mathematical Reasoning EMNLP

Lexi: Self-Supervised Learning of the UI Language F i n d i n g s - E M N L P

CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering EMNLP

Maitreya Patel | Tejas Gokhale | Chitta Baral | Yezhou Yang |

Is a Question Decomposition Unit All We Need? EMNLP

Pruthvi Patel | Swaroop Mishra | Mihir Parmar | Chitta Baral |

‘Just because you are right, doesn’t mean I am wrong’: Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks EACL

Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner’s Perspective EMNLP spnlp

Arindam Mitra | Sanjay Narayana | Chitta Baral |