Pavan Kapanipathi
@pavankaps
Followers
410
Following
675
Media
11
Statuses
819
Researcher at IBM Research (Views are my own)
White Plains, NY
Joined May 2009
RT @TenghaoHuang45: 🎉 Excited to share our ACL 2025 paper:.🤖R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agen….
0
8
0
RT @arankomatsuzaki: Putting It All into Context: Simplifying Agents with LCLMs. Putting all the core code in the context often leads to be….
0
23
0
We, at IBM, released a new dataset for evaluating nested API sequencing and its on huggingface now.
NESTFUL: A benchmark for nested API calls from @IBMResearch . - 1.8K+ executable function sequences.- Tests math reasoning & coding tools.- Evaluates variable handling & chaining.- Shows gaps in current LLM capabilities. Apache 2.0 licensed & fully reproducible
1
3
25
RT @krvarshney: Look at those beautiful Granite Guardian safety vests! #brand #bootleg. The Granite Guardian technical report is now on arX….
0
3
0
RT @harsha_kokel: 🚨 New Dataset Alert🚨 . We introduce ACP Bench. A question-answering style dataset that evaluates AI-model's ability to re….
0
6
0
RT @prasatti: We released best-in-class Apache 2.0 licensed models for detecting general harm and RAG hallucinations as part of the Granite….
huggingface.co
0
2
0
RT @aviaviavi__: Announcing "@IBM SWE-Agent 1.0", from my team @IBMResearch , the first SWE-Agent built only on top of open-source models w….
0
17
0
RT @neurobongo: 🎉Today, we're pleased to announce the release of the Granite 3.0 model family, the latest open-licensed, general purpose LL….
0
16
0
RT @Yikang_Shen: Granite 3.0 is our latest update for the IBM foundation models. The 8B and 2B models outperform strong competitors with si….
0
29
0
RT @seirasto: Are you building and evaluating RAG systems? Presenting InspectorRAGet a platform for easily analyzin….
arxiv.org
Large Language Models (LLM) have become a popular approach for implementing Retrieval Augmented Generation (RAG) systems, and a significant amount of effort has been spent on building good models...
0
9
0
RT @_akhaliq: IBM presents API-BLEND. A Comprehensive Corpora for Training and Benchmarking API LLMs. There is a growing need for Large Lan….
0
25
0
RT @jerryjliu0: Self-RAG in @llama_index. We’re excited to feature Self-RAG, a special RAG technique where an LLM can do self-reflection fo….
0
79
0
RT @RamonAstudill12: We are releasing `v0.5.4` version of the transition-amr-parser. Now with document-level AMR parsing, instalable from P….
github.com
SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch. - IBM/transition-amr-parser
0
5
0
RT @dariogila: We can all agree we’re at a unique and evolutionary moment in AI, with enterprises increasingly turning to this technology’s….
0
52
0
RT @aviaviavi__: If you're using GPT-3 or any other LLMs read this:.1. Don't want it to hallucinate?.2. Need attribution for generated answ….
0
33
0
RT @ylecun: Good article on LLMs at Forbes. The media are starting to agree with my much-criticized statements about LLMs. "LLMs as they….
0
176
0
RT @payel791: Happy to see that our chemical language foundation model, MoLFormer is highlighted in @NatComputSci. In addition to showing c….
0
7
0
RT @asimunawar: Join us today for a very exciting 3rd day of IBM Neuro-Symbolic AI Workshop 2023. Day 3 is all about NLP, large language mo….
0
2
0
RT @luislamb: @IBMResearch workshop on Neurosymbolic AI on the way. Alex Gray opening and @vardi on Deep Learning and Deep Reasoning - Neur….
0
3
0