zthsk

Kshitiz Tiwari zthsk

PhD Student | NLP | Causal Inference

University of Arkansas
Fayetteville

Highlights

Popular repositories Loading

minimum_spanning_tree minimum_spanning_treePublic
This repository contains implementations of three different algorithms—Prim's, Kruskal's, and Dijkstra's—for finding the Minimum Spanning Tree (MST) from a graph.
C++ 3
Causality4NLP_Papers Causality4NLP_PapersPublic
Forked from zhijing-jin/CausalNLP_Papers
A reading list for papers on causality for natural language processing (NLP)
CEBERT CEBERTPublic
This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)
Python
MDL-MLM MDL-MLMPublic
Python
query-processor query-processorPublic
A simple flask app to query the documents available
HTML
semantic_search semantic_searchPublic
An implementation of LSA, LDA and BERT for performing semantic search on MS MARCO Dataset
Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '

zthsk

Kshitiz Tiwari zthsk

PhD Student | NLP | Causal Inference

University of Arkansas
Fayetteville

Highlights

Popular repositories Loading

minimum_spanning_tree minimum_spanning_treePublic
This repository contains implementations of three different algorithms—Prim's, Kruskal's, and Dijkstra's—for finding the Minimum Spanning Tree (MST) from a graph.
C++ 3
Causality4NLP_Papers Causality4NLP_PapersPublic
Forked from zhijing-jin/CausalNLP_Papers
A reading list for papers on causality for natural language processing (NLP)
CEBERT CEBERTPublic
This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)
Python
MDL-MLM MDL-MLMPublic
Python
query-processor query-processorPublic
A simple flask app to query the documents available
HTML
semantic_search semantic_searchPublic
An implementation of LSA, LDA and BERT for performing semantic search on MS MARCO Dataset
Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '

zthsk

Kshitiz Tiwari zthsk

PhD Student | NLP | Causal Inference

University of Arkansas
Fayetteville

Highlights

Popular repositories Loading

minimum_spanning_tree minimum_spanning_treePublic
This repository contains implementations of three different algorithms—Prim's, Kruskal's, and Dijkstra's—for finding the Minimum Spanning Tree (MST) from a graph.
C++ 3
Causality4NLP_Papers Causality4NLP_PapersPublic
Forked from zhijing-jin/CausalNLP_Papers
A reading list for papers on causality for natural language processing (NLP)
CEBERT CEBERTPublic
This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)
Python
MDL-MLM MDL-MLMPublic
Python
query-processor query-processorPublic
A simple flask app to query the documents available
HTML
semantic_search semantic_searchPublic
An implementation of LSA, LDA and BERT for performing semantic search on MS MARCO Dataset
Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '

zthsk

Kshitiz Tiwari zthsk

PhD Student | NLP | Causal Inference

University of Arkansas
Fayetteville

Highlights

Popular repositories Loading

minimum_spanning_tree minimum_spanning_treePublic
This repository contains implementations of three different algorithms—Prim's, Kruskal's, and Dijkstra's—for finding the Minimum Spanning Tree (MST) from a graph.
C++ 3
Causality4NLP_Papers Causality4NLP_PapersPublic
Forked from zhijing-jin/CausalNLP_Papers
A reading list for papers on causality for natural language processing (NLP)
CEBERT CEBERTPublic
This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)
Python
MDL-MLM MDL-MLMPublic
Python
query-processor query-processorPublic
A simple flask app to query the documents available
HTML
semantic_search semantic_searchPublic
An implementation of LSA, LDA and BERT for performing semantic search on MS MARCO Dataset
Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '

zthsk

Kshitiz Tiwari zthsk

PhD Student | NLP | Causal Inference

University of Arkansas
Fayetteville

Highlights

Popular repositories Loading

minimum_spanning_tree minimum_spanning_treePublic
This repository contains implementations of three different algorithms—Prim's, Kruskal's, and Dijkstra's—for finding the Minimum Spanning Tree (MST) from a graph.
C++ 3
Causality4NLP_Papers Causality4NLP_PapersPublic
Forked from zhijing-jin/CausalNLP_Papers
A reading list for papers on causality for natural language processing (NLP)
CEBERT CEBERTPublic
This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)
Python
MDL-MLM MDL-MLMPublic
Python
query-processor query-processorPublic
A simple flask app to query the documents available
HTML
semantic_search semantic_searchPublic
An implementation of LSA, LDA and BERT for performing semantic search on MS MARCO Dataset
Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '

zthsk

Kshitiz Tiwari zthsk

PhD Student | NLP | Causal Inference

University of Arkansas
Fayetteville

Highlights

Popular repositories Loading

minimum_spanning_tree minimum_spanning_treePublic
This repository contains implementations of three different algorithms—Prim's, Kruskal's, and Dijkstra's—for finding the Minimum Spanning Tree (MST) from a graph.
C++ 3
Causality4NLP_Papers Causality4NLP_PapersPublic
Forked from zhijing-jin/CausalNLP_Papers
A reading list for papers on causality for natural language processing (NLP)
CEBERT CEBERTPublic
This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)
Python
MDL-MLM MDL-MLMPublic
Python
query-processor query-processorPublic
A simple flask app to query the documents available
HTML
semantic_search semantic_searchPublic
An implementation of LSA, LDA and BERT for performing semantic search on MS MARCO Dataset
Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '

zthsk

Kshitiz Tiwari zthsk

PhD Student | NLP | Causal Inference

University of Arkansas
Fayetteville

Highlights

Popular repositories Loading

minimum_spanning_tree minimum_spanning_treePublic
This repository contains implementations of three different algorithms—Prim's, Kruskal's, and Dijkstra's—for finding the Minimum Spanning Tree (MST) from a graph.
C++ 3
Causality4NLP_Papers Causality4NLP_PapersPublic
Forked from zhijing-jin/CausalNLP_Papers
A reading list for papers on causality for natural language processing (NLP)
CEBERT CEBERTPublic
This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)
Python
MDL-MLM MDL-MLMPublic
Python
query-processor query-processorPublic
A simple flask app to query the documents available
HTML
semantic_search semantic_searchPublic
An implementation of LSA, LDA and BERT for performing semantic search on MS MARCO Dataset
Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();

zthsk

Kshitiz Tiwari zthsk

PhD Student | NLP | Causal Inference

University of Arkansas
Fayetteville

Highlights

Popular repositories Loading

minimum_spanning_tree minimum_spanning_treePublic
This repository contains implementations of three different algorithms—Prim's, Kruskal's, and Dijkstra's—for finding the Minimum Spanning Tree (MST) from a graph.
C++ 3
Causality4NLP_Papers Causality4NLP_PapersPublic
Forked from zhijing-jin/CausalNLP_Papers
A reading list for papers on causality for natural language processing (NLP)
CEBERT CEBERTPublic
This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)
Python
MDL-MLM MDL-MLMPublic
Python
query-processor query-processorPublic
A simple flask app to query the documents available
HTML
semantic_search semantic_searchPublic
An implementation of LSA, LDA and BERT for performing semantic search on MS MARCO Dataset
Jupyter Notebook

Kshitiz Tiwari zthsk

Highlights

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Kshitiz Tiwari zthsk

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Kshitiz Tiwari zthsk

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Kshitiz Tiwari zthsk

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Kshitiz Tiwari zthsk

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Kshitiz Tiwari zthsk

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Kshitiz Tiwari zthsk

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Kshitiz Tiwari zthsk

Highlights

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