Search Results for author:
Found 20 papers, 4 papers with code
RAFT: Adapting Language Model to Domain Specific RAG
In this paper, we present Retrieval Augmented FineTuning (RAFT), a training recipe that improves the model's ability to answer questions in a "open-book" in-domain settings.
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
Large Language Models (LLMs) applied to code-related applications have emerged as a prominent field, attracting significant interest from both academia and industry.
StarCoder 2 and The Stack v2: The Next Generation
Our large model, StarCoder2- 15B, significantly outperforms other models of comparable size.
Ranked #25 on
Code Generation
on MBPP
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?
In this work, we focus on these counterfeit samples: programs sampled from a language model that 1) have a high enough log-probability to be generated at a moderate temperature and 2) pass weak correctness checks.
LLM-Assisted Code Cleaning For Training Accurate Code Generators
In this work, we investigate data quality for code and find that making the code more structured and readable leads to improved code generation performance of the system.
Revisiting Prompt Engineering via Declarative Crowdsourcing
Large language models (LLMs) are incredibly powerful at comprehending and generating data in the form of text, but are brittle and error-prone.
SentEmojiBot: Empathising Conversations Generation with Emojis
The increasing use of dialogue agents makes it extremely desirable for them to understand and acknowledge the implied emotions to respond like humans with empathy.
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
Decision trees provide a rich family of highly non-linear but efficient models, due to which they continue to be the go-to family of predictive models by practitioners across domains.
Bollyrics: Automatic Lyrics Generator for Romanised Hindi
Song lyrics convey a meaningful story in a creative manner with complex rhythmic patterns.
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name?
We evaluate named entity representations of BERT-based NLP models by investigating their robustness to replacements from the same typed class in the input.
A Multi-Dimensional View of Aggression when voicing Opinion
The advent of social media has immensely proliferated the amount of opinions and arguments voiced on the internet.
PlantDoc: A Dataset for Visual Plant Disease Detection
Early detection of plant diseases remains difficult due to the lack of lab infrastructure and expertise.
NLPExplorer: Exploring the Universe of NLP Papers
Also, it provides temporal statistics such as yearwise popularity of topics, datasets, and seminal papers.
On the Robustness of Human Pose Estimation
This paper provides a comprehensive and exhaustive study of adversarial attacks on human pose estimation models and the evaluation of their robustness.
A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu
With respect to text processing, addressing the differences between the Hindi and Urdu texts would be beneficial in the following ways: (a) instead of training separate models, their individual resources can be augmented to train single, unified models for better generalization, and (b) their individual text processing applications can be used interchangeably under varied resource conditions.
